Rogério Feris

According to our database, Rogério Feris authored at least 215 papers between 2000 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models.

Muhammad Jehanzeb Mirza, Mengjie Zhao, Zhuoyuan Mao, Sivan Doveh, Wei Lin, Paul Gavrikov, Michael Dorkenwald, Shiqi Yang, Saurav Jha, Hiromi Wakaki, Yuki Mitsufuji, Horst Possegger, Rogério Feris, Leonid Karlinsky, James R. Glass

CoRR, 2024

Scaling Granite Code Models to 128K Context.

Matt Stallone, Vaibhav Saxena, Leonid Karlinsky, Bridget McGinn, Tim Bula, Mayank Mishra, Adriana Meza Soria, Gaoyuan Zhang, Aditya Prasad, Yikang Shen, Saptha Surendran, Shanmukha C. Guttula, Hima Patel, Parameswaran Selvam, Xuan-Hong Dang, Yan Koyfman, Atin Sood, Rogério Feris, Nirmit Desai, David D. Cox, Ruchir Puri, Rameswar Panda

CoRR, 2024

Navigating the Labyrinth: Evaluating and Enhancing LLMs' Ability to Reason About Search Problems.

Nasim Borazjanizadeh, Roei Herzig, Trevor Darrell, Rogério Feris, Leonid Karlinsky

CoRR, 2024

Self-MoE: Towards Compositional Large Language Models with Self-Specialized Experts.

Junmo Kang, Leonid Karlinsky, Hongyin Luo, Zhen Wang, Jacob A. Hansen, Jim Glass, David D. Cox, Rameswar Panda, Rogério Feris, Alan Ritter

CoRR, 2024

Whisper-Flamingo: Integrating Visual Features into Whisper for Audio-Visual Speech Recognition and Translation.

Andrew Rouditchenko, Yuan Gong, Samuel Thomas, Leonid Karlinsky, Hilde Kuehne, Rogério Feris, James R. Glass

CoRR, 2024

Comparison Visual Instruction Tuning.

Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky

CoRR, 2024

ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs.

Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky

CoRR, 2024

Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning.

Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky

CoRR, 2024

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory.

Zexue He, Leonid Karlinsky, Donghyun Kim, Julian J. McAuley, Dmitry Krotov, Rogério Feris

CoRR, 2024

Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths.

Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

LangNav: Language as a Perceptual Representation for Navigation.

Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Large Scale Generative AI Text Applied to Sports and Music.

Aaron K. Baughman, Eduardo Morales, Rahul Agarwal, Gozde Akay, Rogério Feris, Tony Johnson, Stephen Hammer, Leonid Karlinsky

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Adaptive Memory Replay for Continual Learning.

James Seale Smith, Lazar Valkov, Shaunak Halbe, Vyshnavi Gutta, Rogério Feris, Zsolt Kira, Leonid Karlinsky

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

What, When, and Where? Self-Supervised Spatio- Temporal Grounding in Untrimmed Multi-Action Videos from Narrated Instructions.

Brian Chen, Nina Shvetsova, Andrew Rouditchenko, Daniel Kondermann, Samuel Thomas, Shih-Fu Chang, Rogério Feris, James R. Glass, Hilde Kuehne

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Self-Specialization: Uncovering Latent Expertise within Large Language Models.

Junmo Kang, Hongyin Luo, Yada Zhu, Jacob A. Hansen, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Self-Specialization: Uncovering Latent Expertise within Large Language Models.

Junmo Kang, Hongyin Luo, Yada Zhu, James R. Glass, David D. Cox, Alan Ritter, Rogério Feris, Leonid Karlinsky

CoRR, 2023

TAP: Targeted Prompting for Task Adaptive Generation of Textual Training Instances for Visual Classification.

Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Rogério Feris, Horst Bischof

CoRR, 2023

Mind the Backbone: Minimizing Backbone Distortion for Robust Object Detection.

Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Rogério Feris, Kate Saenko

CoRR, 2023

Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation.

Aadarsh Sahoo, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Addressing Feature Suppression in Unsupervised Visual Representations.

Tianhong Li, Lijie Fan, Yuan Yuan, Hao He, Yonglong Tian, Rogério Feris, Piotr Indyk, Dina Katabi

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Learning Human Action Recognition Representations Without Real Humans.

Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections.

Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Mateusz Kozinski, Rogério Feris, Horst Bischof

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models.

Sivan Doveh, Assaf Arbelle, Sivan Harary, Roei Herzig, Donghyun Kim, Paola Cascante-Bonilla, Amit Alfassy, Rameswar Panda, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages.

Andrew Rouditchenko, Sameer Khurana, Samuel Thomas, Rogério Feris, Leonid Karlinsky, Hilde Kuehne, David Harwath, Brian Kingsbury, James R. Glass

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning.

Zhen Wang, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Huan Sun, Yoon Kim

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Grow Pretrained Models for Efficient Transformer Training.

Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation.

Kaihong Wang, Donghyun Kim, Rogério Feris, Margrit Betke

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Going Beyond Nouns With Vision & Language Models Using Synthetic Data.

Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge.

Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval.

Andrew Rouditchenko, Yung-Sung Chuang, Nina Shvetsova, Samuel Thomas, Rogério Feris, Brian Kingsbury, Leonid Karlinsky, David Harwath, Hilde Kuehne, James R. Glass

Proceedings of the IEEE International Conference on Acoustics, 2023

Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs.

Roei Herzig, Alon Mendelson, Leonid Karlinsky, Assaf Arbelle, Rogério Feris, Trevor Darrell, Amir Globerson

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning.

James Seale Smith, Leonid Karlinsky, Vyshnavi Gutta, Paola Cascante-Bonilla, Donghyun Kim, Assaf Arbelle, Rameswar Panda, Rogério Feris, Zsolt Kira

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ConStruct-VL: Data-Free Continual Structured VL Concepts Learning.

James Seale Smith, Paola Cascante-Bonilla, Assaf Arbelle, Donghyun Kim, Rameswar Panda, David D. Cox, Diyi Yang, Zsolt Kira, Rogério Feris, Leonid Karlinsky

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Teaching Structured Vision & Language Concepts to Vision & Language Models.

Sivan Doveh, Assaf Arbelle, Sivan Harary, Eli Schwartz, Roei Herzig, Raja Giryes, Rogério Feris, Rameswar Panda, Shimon Ullman, Leonid Karlinsky

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Synthetic Pre-Training Tasks for Neural Machine Translation.

Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Baby steps towards few-shot learning with multiple semantics.

Eli Schwartz, Leonid Karlinsky, Rogério Feris, Raja Giryes, Alexander M. Bronstein

Pattern Recognit. Lett., 2022

Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding.

Mathew Monfort, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva

IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Maximal Correlation Framework for Fair Machine Learning.

Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Schmidt Feris

Entropy, 2022

Exploring Consistency in Cross-Domain Transformer for Domain Adaptive Semantic Segmentation.

Kaihong Wang, Donghyun Kim, Rogério Feris, Kate Saenko, Margrit Betke

CoRR, 2022

Teaching Structured Vision&Language Concepts to Vision&Language Models.

Sivan Doveh, Assaf Arbelle, Sivan Harary, Rameswar Panda, Roei Herzig, Eli Schwartz, Donghyun Kim, Raja Giryes, Rogério Feris, Shimon Ullman, Leonid Karlinsky

CoRR, 2022

FETA: Towards Specializing Foundation Models for Expert Task Applications.

Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Kate Saenko, Peter W. J. Staar, Rogério Feris, Leonid Karlinsky

CoRR, 2022

SimVQA: Exploring Simulated Environments for Visual Question Answering.

Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez

CoRR, 2022

How Transferable are Video Representations Based on Synthetic Data?

Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Procedural Image Programs for Representation Learning.

Manel Baradad, Chun-Fu Richard Chen, Jonas Wulff, Tongzhou Wang, Rogério Feris, Antonio Torralba, Phillip Isola

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FETA: Towards Specializing Foundational Models for Expert Task Applications.

Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter W. J. Staar, Kate Saenko, Rogério Feris, Leonid Karlinsky

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Maximal Correlation Approach to Imposing Fairness in Machine Learning.

Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris

Proceedings of the IEEE International Conference on Acoustics, 2022

Everything at Once - Multi-modal Fusion Transformer for Video Retrieval.

Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data.

Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

VALHALLA: Visual Hallucination for Machine Translation.

Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Targeted Supervised Contrastive Learning for Long-Tailed Recognition.

Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Unsupervised Domain Generalization by Learning a Bridge Across Domains.

Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Sim VQA: Exploring Simulated Environments for Visual Question Answering.

Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

MetAdapt: Meta-learned task-adaptive architecture for few-shot classification.

Sivan Doveh, Eli Schwartz, Chao Xue, Rogério Feris, Alexander M. Bronstein, Raja Giryes, Leonid Karlinsky

Pattern Recognit. Lett., 2021

IA-RED²: Interpretability-Aware Redundancy Reduction for Vision Transformers.

Bowen Pan, Yifan Jiang, Rameswar Panda, Zhangyang Wang, Rogério Feris, Aude Oliva

CoRR, 2021

All at Once Network Quantization via Collaborative Knowledge Transfer.

Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko

CoRR, 2021

VA-RED²: Video Adaptive Redundancy Reduction.

Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris

CoRR, 2021

IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers.

Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogério Feris, Aude Oliva

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data.

Ashraful Islam, Chun-Fu (Richard) Chen, Rameswar Panda, Leonid Karlinsky, Rogério Feris, Richard J. Radke

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos.

Andrew Rouditchenko, Angie W. Boggust, David Harwath, Brian Chen, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Hilde Kuehne, Rameswar Panda, Rogério Schmidt Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Cascaded Multilingual Audio-Visual Learning from Videos.

Andrew Rouditchenko, Angie W. Boggust, David Harwath, Samuel Thomas, Hilde Kuehne, Brian Chen, Rameswar Panda, Rogério Feris, Brian Kingsbury, Michael Picheny, James R. Glass

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

VA-RED2: Video Adaptive Redundancy Reduction.

Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris

Proceedings of the 9th International Conference on Learning Representations, 2021

AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition.

Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris

Proceedings of the 9th International Conference on Learning Representations, 2021

Dynamic Network Quantization for Efficient Video Inference.

Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition.

Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Broad Study on the Transferability of Visual Representations with Contrastive Learning.

Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos.

Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Detector-Free Weakly Supervised Grounding by Separation.

Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback.

Hui Wu, Yupeng Gao, Xiaoxiao Guo, Ziad Al-Halah, Steven Rennie, Kristen Grauman, Rogério Feris

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Separating Skills and Concepts for Novel Visual Question Answering.

Spencer Whitehead, Hui Wu, Heng Ji, Rogério Feris, Kate Saenko

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Semi-Supervised Action Recognition With Temporal Contrastive Learning.

Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions.

Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection.

Jiachen Li, Bowen Cheng, Rogério Feris, Jinjun Xiong, Thomas S. Huang, Wen-Mei Hwu, Humphrey Shi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition.

Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Fine-Grained Angular Contrastive Learning With Coarse Labels.

Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search.

Rameswar Panda, Michele Merler, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Ulrich Finkler, Chun-Fu (Richard) Chen, Minsik Cho, Rogério Feris, David S. Kung, Bishwaranjan Bhattacharjee

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

StarNet: towards Weakly Supervised Few-Shot Object Detection.

Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Feris, Alex M. Bronstein, Raja Giryes

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning from Lexical Perturbations for Consistent Visual Question Answering.

Spencer Whitehead, Hui Wu, Yi Ren Fung, Heng Ji, Rogério Schmidt Feris, Kate Saenko

CoRR, 2020

Large Scale Neural Architecture Search with Polyharmonic Splines.

Ulrich Finkler, Michele Merler, Rameswar Panda, Mayoore S. Jaiswal, Hui Wu, Kandan Ramakrishnan, Chun-Fu Chen, Minsik Cho, David S. Kung, Rogério Feris, Bishwaranjan Bhattacharjee

CoRR, 2020

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos.

Andrew Rouditchenko, Angie W. Boggust, David Harwath, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Rogério Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James R. Glass

CoRR, 2020

StarNet: towards weakly supervised few-shot detection and explainable few-shot classification.

Leonid Karlinsky, Joseph Shtok, Amit Alfassy, Moshe Lichtenstein, Sivan Harary, Eli Schwartz, Sivan Doveh, Prasanna Sattigeri, Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes

CoRR, 2020

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning.

Ximeng Sun, Rameswar Panda, Rogério Feris, Kate Saenko

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mitigating Dataset Imbalance via Joint Generation and Classification.

Aadarsh Sahoo, Ankit Singh, Rameswar Panda, Rogério Schmidt Feris, Abir Das

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

AR-Net: Adaptive Frame Resolution for Efficient Action Recognition.

Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris

Proceedings of the Computer Vision - ECCV 2020, 2020

TAFSSL: Task-Adaptive Feature Sub-Space Learning for Few-Shot Classification.

Moshe Lichtenstein, Prasanna Sattigeri, Rogério Feris, Raja Giryes, Leonid Karlinsky

Proceedings of the Computer Vision - ECCV 2020, 2020

A Broader Study of Cross-Domain Few-Shot Learning.

Yunhui Guo, Noel Codella, Leonid Karlinsky, James V. Codella, John R. Smith, Kate Saenko, Tajana Rosing, Rogério Feris

Proceedings of the Computer Vision - ECCV 2020, 2020

We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos.

Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva

Proceedings of the Computer Vision - ECCV 2020, 2020

OnlineAugment: Online Data Augmentation with Less Domain Knowledge.

Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2020, 2020

Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation.

Zhonghao Wang, Mo Yu, Yunchao Wei, Rogério Feris, Jinjun Xiong, Wen-Mei Hwu, Thomas S. Huang, Honghui Shi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation.

Zhonghao Wang, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-Mei W. Hwu, Thomas S. Huang, Honghui Shi

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors.

Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Video Instance Segmentation Tracking With a Modified VAE Architecture.

Chung-Ching Lin, Ying Hung, Rogério Feris, Linglin He

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Automatic Curation of Sports Highlights Using Multimodal Excitement Features.

Michele Merler, Khoi-Nguyen C. Mac, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, Jinjun Xiong, Minh N. Do, John R. Smith, Rogério Schmidt Feris

IEEE Trans. Multim., 2019

A New Benchmark for Evaluation of Cross-Domain Few-Shot Learning.

Yunhui Guo, Noel C. F. Codella, Leonid Karlinsky, John R. Smith, Tajana Rosing, Rogério Schmidt Feris

CoRR, 2019

AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning.

Ximeng Sun, Rameswar Panda, Rogério Schmidt Feris

CoRR, 2019

The Fashion IQ Dataset: Retrieving Images by Combining Side Information and Relative Natural Language Feedback.

Xiaoxiao Guo, Hui Wu, Yupeng Gao, Steven Rennie, Rogério Schmidt Feris

CoRR, 2019

Depthwise Convolution is All You Need for Learning Multiple Visual Domains.

Yunhui Guo, Yandong Li, Rogério Schmidt Feris, Liqiang Wang, Tajana Rosing

CoRR, 2019

Diversity in Faces.

Michele Merler, Nalini K. Ratha, Rogério Schmidt Feris, John R. Smith

CoRR, 2019

Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition.

Chun-Fu (Richard) Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogério Schmidt Feris

Proceedings of the 7th International Conference on Learning Representations, 2019

Video-Text Compliance: Activity Verification Based on Natural Language Instructions.

Mayoore Jaiswal, H. Peter Hofstee, Valerie Chen, Suvadip Paul, Rogério Feris, Frank Liu, Anupama Jagannathan, Anne Gattiker, Inseok Hwang, Jinho Lee, Matthew Tong, Sahil Dureja, Soham Shah

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection.

Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogério Schmidt Feris, Minh N. Do

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Identifying Interpretable Action Concepts in Deep Networks.

Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection.

Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

SpotTune: Transfer Learning Through Adaptive Fine-Tuning.

Yunhui Guo, Honghui Shi, Abhishek Kumar, Kristen Grauman, Tajana Rosing, Rogério Schmidt Feris

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Grounding Spoken Words in Unlabeled Video.

Angie W. Boggust, Kartik Audhkhasi, Dhiraj Joshi, David Harwath, Samuel Thomas, Rogério Schmidt Feris, Danny Gutfreund, Yang Zhang, Antonio Torralba, Michael Picheny, James R. Glass

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning.

Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Improving Object Detection from Scratch via Gated Feature Reuse.

Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

RED-Net: A Recurrent Encoder-Decoder Network for Video-Based Face Alignment.

Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas

Int. J. Comput. Vis., 2018

Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection.

Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogério Schmidt Feris, Minh N. Do

CoRR, 2018

Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection.

Bowen Cheng, Yunchao Wei, Rogério Schmidt Feris, Jinjun Xiong, Wen-mei W. Hwu, Thomas S. Huang, Honghui Shi

CoRR, 2018

RepMet: Representative-based metric learning for classification and one-shot object detection.

Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogério Schmidt Feris, Abhishek Kumar, Raja Giryes, Alexander M. Bronstein

CoRR, 2018

Dialog-based Interactive Image Retrieval.

Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Rogério Schmidt Feris

CoRR, 2018

Object-Centric Spatio-Temporal Activity Detection and Recognition.

Mandis Beigi, Lisa M. Brown, Quanfu Fan, John Henning, Chung-Ching Lin, Honghui Shi, Chiao-Fe Shu, Rogério Schmidt Feris

Proceedings of the 2018 TREC Video Retrieval Evaluation, 2018

Delta-encoder: an effective sample synthesis method for few-shot object recognition.

Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogério Schmidt Feris, Raja Giryes, Alexander M. Bronstein

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Co-regularized Alignment for Unsupervised Domain Adaptation.

Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, Bill Freeman, Gregory W. Wornell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Dialog-based Interactive Image Retrieval.

Xiaoxiao Guo, Hui Wu, Yu Cheng, Steven Rennie, Gerald Tesauro, Rogério Schmidt Feris

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images.

Noel C. F. Codella, Chung-Ching Lin, Allan Halpern, Michael Hind, Rogério Schmidt Feris, John R. Smith

Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

Segmentation of Both Diseased and Healthy Skin From Clinical Photographs in a Primary Care Setting.

Noel C. F. Codella, Daren Anderson, Tyler Philips, Anthony Porto, Kevin Massey, Jane Snowdon, Rogério Schmidt Feris, John R. Smith

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Revisiting RCNN: On Awakening the Classification Power of Faster RCNN.

Bowen Cheng, Yunchao Wei, Honghui Shi, Rogério Schmidt Feris, Jinjun Xiong, Thomas S. Huang

Proceedings of the Computer Vision - ECCV 2018, 2018

BlockDrop: Dynamic Inference Paths in Residual Networks.

Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogério Schmidt Feris

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

The Excitement of Sports: Automatic Highlights Using Audio/Visual Cues.

Michele Merler, Dhiraj Joshi, Khoi-Nguyen C. Mac, Quoc-Bao Nguyen, Stephen Hammer, John Kent, Jinjun Xiong, Minh N. Do, John R. Smith, Rogério Schmidt Feris

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Learning to Separate Object Sounds by Watching Unlabeled Video.

Ruohan Gao, Rogério Schmidt Feris, Kristen Grauman

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation.

Xi Peng, Zhiqiang Tang, Fei Yang, Rogério Schmidt Feris, Dimitris N. Metaxas

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids.

Zhiqiang Shen, Honghui Shi, Rogério Schmidt Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang

CoRR, 2017

IBM High-Five: Highlights From Intelligent Video Engine.

Dhiraj Joshi, Michele Merler, Quoc-Bao Nguyen, Stephen Hammer, John Kent, John R. Smith, Rogério Schmidt Feris

Proceedings of the 2017 ACM on Multimedia Conference, 2017

S3Pool: Pooling with Stochastic Spatial Sampling.

Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogério Schmidt Feris

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Automatic Curation of Golf Highlights Using Multimodal Excitement Features.

Michele Merler, Dhiraj Joshi, Quoc-Bao Nguyen, Stephen Hammer, John Kent, John R. Smith, Rogério Schmidt Feris

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Fully-Adaptive Feature Sharing in Multi-Task Networks with Applications in Person Attribute Classification.

Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogério Schmidt Feris

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Edge-Guided Single Depth Image Super Resolution.

Jun Xie, Rogério Schmidt Feris, Ming-Ting Sun

IEEE Trans. Image Process., 2016

Generative Adversarial Networks as Variational Training of Energy Based Models.

Shuangfei Zhai, Yu Cheng, Rogério Schmidt Feris, Zhongfei Zhang

CoRR, 2016

A Recurrent Encoder-Decoder Network for Sequential Face Alignment.

Xi Peng, Rogério Schmidt Feris, Xiaoyu Wang, Dimitris N. Metaxas

Proceedings of the Computer Vision - ECCV 2016, 2016

A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection.

Zhaowei Cai, Quanfu Fan, Rogério Schmidt Feris, Nuno Vasconcelos

Proceedings of the Computer Vision - ECCV 2016, 2016

Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data.

Jing Wang, Yu Cheng, Rogério Schmidt Feris

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Joint Super Resolution and Denoising From a Single Depth Image.

Jun Xie, Rogério Schmidt Feris, Shiaw-Shian Yu, Ming-Ting Sun

IEEE Trans. Multim., 2015

Fine registration of 3D point clouds fusing structural and photometric information using an RGB-D camera.

Jun Xie, Yu-Feng Hsu, Rogério Schmidt Feris, Ming-Ting Sun

J. Vis. Commun. Image Represent., 2015

Fast Neural Networks with Circulant Projections.

Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang

CoRR, 2015

Automated Axon Segmentation from Highly Noisy Microscopic Videos.

John Bowler, Rogério Schmidt Feris, Liangliang Cao, Jun Wang, Mo Zhou

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Cross-Domain Image Retrieval with a Dual Attribute-Aware Ranking Network.

Junshi Huang, Rogério Schmidt Feris, Qiang Chen, Shuicheng Yan

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections.

Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Deep domain adaptation for describing people based on fine-grained clothing attributes.

Qiang Chen, Junshi Huang, Rogério Schmidt Feris, Lisa M. Brown, Jian Dong, Shuicheng Yan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Efficient 24/7 object detection in surveillance videos.

Rogério Schmidt Feris, Russell Bobbitt, Sharath Pankanti, Ming-Ting Sun

Proceedings of the 12th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2015

2014

A spatial-color layout feature for representing galaxy images.

Yin Cui, Yongzhou Xiang, Kun Rong, Rogério Schmidt Feris, Liangliang Cao

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

IBM-Northwestern@TRECVID 2014: Surveillance Event Detection.

Yu Cheng, Lisa M. Brown, Quanfu Fan, Jingjing Liu, Rogério Schmidt Feris, Alok N. Choudhary, Sharath Pankanti

Proceedings of the 2014 TREC Video Retrieval Evaluation, 2014

A mission-oriented citizen science platform for efficient flower classification based on combination of feature descriptors.

Andréa Britto Mattos, Ricardo Herrmann, Kelly Kiyumi Shigeno, Rogério Schmidt Feris

Proceedings of the 1st International Workshop on Environnmental Multimedia Retrieval co-located with ACM International Conference on Multimedia Retrieval, 2014

Flower Classification for a Citizen Science Mobile App.

Andréa Britto Mattos, Ricardo Guimarães Herrmann, Kelly Kiyumi Shigeno, Rogério Schmidt Feris

Proceedings of the International Conference on Multimedia Retrieval, 2014

Attribute-based People Search: Lessons Learnt from a Practical Surveillance System.

Rogério Schmidt Feris, Russell Bobbitt, Lisa M. Brown, Sharath Pankanti

Proceedings of the International Conference on Multimedia Retrieval, 2014

Appearance-Based Object Detection Under Varying Environmental Conditions.

Rogério Schmidt Feris, Lisa M. Brown, Sharath Pankanti, Ming-Ting Sun

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Temporal Non-maximum Suppression for Pedestrian Detection Using Self-Calibration.

Lisa M. Brown, Rogério Schmidt Feris, Sharathchandra Pankanti

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Single depth image super resolution and denoising via coupled dictionary learning with local constraints and shock filtering.

Jun Xie, Cheng-Chuan Chou, Rogério Schmidt Feris, Ming-Ting Sun

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

RiskWheel: Interactive visual analytics for surveillance event detection.

Yu Cheng, Lisa M. Brown, Qibin Fan, Rogério Schmidt Feris, Sharath Pankanti, Tao Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Fusing well-crafted feature descriptors for efficient fine-grained classification.

Andrea Britto Mottos, Rogério Schmidt Feris

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Domain adaptive object detection.

Fatemeh Mirrashed, Vlad I. Morariu, Behjat Siddiquie, Rogério Schmidt Feris, Larry S. Davis

Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

Boosting object detection performance in crowded surveillance videos.

Rogério Schmidt Feris, Ankur Datta, Sharath Pankanti, Ming-Ting Sun

Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems.

Lisa M. Brown, Liangliang Cao, Chih-Fu Chang, Yu Cheng, Alok N. Choudhary, Noel Codella, Courtenay V. Cotton, Dan Ellis, Quanfu Fan, Rogério Schmidt Feris, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Sharath Pankanti, John R. Smith, Felix X. Yu

Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

Spatio-temporal fisher vector coding for surveillance event detection.

Qiang Chen, Yang Cai, Lisa M. Brown, Ankur Datta, Quanfu Fan, Rogério Schmidt Feris, Shuicheng Yan, Alexander G. Hauptmann, Sharath Pankanti

Proceedings of the ACM Multimedia Conference, 2013

Fine registration of 3D point clouds with iterative closest point using an RGB-D camera.

Jun Xie, Yu-Feng Hsu, Rogério Schmidt Feris, Ming-Ting Sun

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

Fast Face Detector Training Using Tailored Views.

Kristina Scherbaum, James Petterson, Rogério Schmidt Feris, Volker Blanz, Hans-Peter Seidel

Proceedings of the IEEE International Conference on Computer Vision, 2013

Shape Analysis Using the Spectral Graph Wavelet Transform.

Jorge de Jesus Gomes Leandro, Roberto Marcondes Cesar Junior, Rogério Schmidt Feris

Proceedings of the 9th IEEE International Conference on eScience, 2013

Designing Category-Level Attributes for Discriminative Visual Recognition.

Felix X. Yu, Liangliang Cao, Rogério Schmidt Feris, John R. Smith, Shih-Fu Chang

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Hierarchical Feature Pooling with Structure Learning: A New Method for Pedestrian Detection.

Xiaoyu Wang, Liangliang Cao, Rogério Schmidt Feris, Ankur Datta, Tony X. Han

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

Efficient Maximum Appearance Search for Large-Scale Object Detection.

Qiang Chen, Zheng Song, Rogério Schmidt Feris, Ankur Datta, Liangliang Cao, ZhongYang Huang, Shuicheng Yan

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Large-Scale Vehicle Detection, Indexing, and Search in Urban Surveillance Videos.

Rogério Schmidt Feris, Behjat Siddiquie, James Petterson, Yun Zhai, Ankur Datta, Lisa M. Brown, Sharath Pankanti

IEEE Trans. Multim., 2012

Informedia @TRECVID 2012.

Shoou-I Yu, Zhongwen Xu, Duo Ding, Waito Sze, Francisco Vicente, Zhenzhong Lan, Yang Cai, Shourabh Rawat, Peter F. Schulam, Nisarga Markandaiah, Sohail Bahmani, Antonio Juárez, Wei Tong, Yi Yang, Susanne Burger, Florian Metze, Rita Singh, Bhiksha Raj, Richard M. Stern, Teruko Mitamura, Eric Nyberg, Lu Jiang, Qiang Chen, Lisa M. Brown, Ankur Datta, Quanfu Fan, Rogério Schmidt Feris, Shuicheng Yan, Alexander G. Hauptmann, Sharath Pankanti

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

Unsupervised model selection for view-invariant object detection in surveillance environments.

Behjat Siddiquie, Rogério Schmidt Feris, Ankur Datta, Larry S. Davis

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Appearance modeling for person re-identification using Weighted Brightness Transfer Functions.

Ankur Datta, Lisa M. Brown, Rogério Schmidt Feris, Sharathchandra Pankanti

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Learning Detectors from Large Datasets for Object Retrieval in Video Surveillance.

Rogério Schmidt Feris, Sharath Pankanti, Behjat Siddiquie

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

2011

Automatic Video Activity Recognition.

Haowei Liu, Ming-Ting Sun, Rogério Schmidt Feris

Proceedings of the Multimedia Analysis, Processing and Communications, 2011

Robust Detection of Abandoned and Removed Objects in Complex Surveillance Videos.

Ying-li Tian, Rogério Schmidt Feris, Haowei Liu, Arun Hampapur, Ming-Ting Sun

IEEE Trans. Syst. Man Cybern. Part C, 2011

Practical computer vision: Example techniques and challenges.

Sharath Pankanti, Lisa M. Brown, Jonathan H. Connell, Ankur Datta, Quanfu Fan, Rogério Schmidt Feris, Norman Haas, Ying Li, Nalini K. Ratha, Hoang Trinh

IBM J. Res. Dev., 2011

Analytics-driven asset management.

Arun Hampapur, H. Cao, Andrew J. Davenport, W. S. Dong, Don Fenhagen, Rogério Schmidt Feris, Germán S. Goldszmidt, Z. B. Jiang, Jayant Kalagnanam, Tarun Kumar, H. Li, Xuan Liu, Shilpa Mahatma, Sharath Pankanti, D. Pelleg, W. Sun, M. Taylor, Chunhua Tian, Segev Wasserkrug, Lexing Xie, Mujib Lodhi, C. Kiely, K. Butturff, L. Desjardins

IBM J. Res. Dev., 2011

Large-scale vehicle detection in challenging urban surveillance environments.

Rogério Schmidt Feris, James Petterson, Behjat Siddiquie, Lisa M. Brown, Sharath Pankanti

Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

Attribute-based vehicle search in crowded surveillance videos.

Rogério Schmidt Feris, Behjat Siddiquie, Yun Zhai, James Petterson, Lisa M. Brown, Sharath Pankanti

Proceedings of the 1st International Conference on Multimedia Retrieval, 2011

Hierarchical ranking of facial attributes.

Ankur Datta, Rogério Schmidt Feris, Daniel A. Vaquero

Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

Image ranking and retrieval based on multi-attribute queries.

Behjat Siddiquie, Rogério Schmidt Feris, Larry S. Davis

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Benchmarking Datasets for Human Activity Recognition.

Haowei Liu, Rogério Schmidt Feris, Ming-Ting Sun

Proceedings of the Visual Analysis of Humans - Looking at People., 2011

2010

Unsupervised Action Classification Using Space-Time Link Analysis.

Haowei Liu, Rogério Schmidt Feris, Volker Krüger, Ming-Ting Sun

EURASIP J. Image Video Process., 2010

Multi-Scale People Detection and Motion Analysis for Video Surveillance.

Ying-li Tian, Rogério Schmidt Feris, Lisa M. Brown, Daniel A. Vaquero, Yun Zhai, Arun Hampapur

Proceedings of the Machine Learning for Human Motion Analysis - Theory and Practice., 2010

2009

Attribute-based people search in surveillance environments.

Daniel A. Vaquero, Rogério Schmidt Feris, Duan Tran, Lisa M. Brown, Arun Hampapur, Matthew A. Turk

Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2009), 2009

A projector-camera setup for geometry-invariant frequency demultiplexing.

Daniel A. Vaquero, Ramesh Raskar, Rogério Schmidt Feris, Matthew A. Turk

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Shape classification through structured learning of matching measures.

Longbin Chen, Julian J. McAuley, Rogério Schmidt Feris, Tibério S. Caetano, Matthew A. Turk

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Video Analytics in Urban Environments.

Arun Hampapur, Russell Bobbitt, Lisa M. Brown, Mike Desimone, Rogério Schmidt Feris, Rick Kjeldsen, Max Lu, Carl Mercier, Chris Milite, Stephen Russo, Chiao-Fe Shu, Yun Zhai

Proceedings of the Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2009

Composite Event Detection in Multi-Camera and Multi-Sensor Surveillance Networks.

Yun Zhai, Rogério Schmidt Feris, Lisa M. Brown, Russell Bobbitt, Arun Hampapur, Sharath Pankanti, Quanfu Fan, Akira Yanagawa, Ying-li Tian, Senem Velipasalar

Proceedings of the Multi-Camera Networks, 2009

2008

Multiflash Stereopsis: Depth-Edge-Preserving Stereo with Small Baseline Illumination.

Rogério Schmidt Feris, Ramesh Raskar, Longbin Chen, Kar-Han Tan, Matthew A. Turk

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Facial image analysis using local feature adaptation prior to learning.

Rogério Schmidt Feris, Ying-li Tian, Yun Zhai, Arun Hampapur

Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

Characterizing the shadow space of camera-light pairs.

Daniel A. Vaquero, Rogério Schmidt Feris, Matthew A. Turk, Ramesh Raskar

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Efficient partial shape matching using Smith-Waterman algorithm.

Longbin Chen, Rogério Schmidt Feris, Matthew A. Turk

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

An Integrated System for Moving Object Classification in Surveillance Videos.

Longbin Chen, Rogério Schmidt Feris, Yun Zhai, Lisa M. Brown, Arun Hampapur

Proceedings of the Fifth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2008

2007

Capturing People in Surveillance Video.

Rogério Schmidt Feris, Ying-li Tian, Arun Hampapur

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Video analytics for retail.

Andrew W. Senior, Lisa M. Brown, Arun Hampapur, Chiao-Fe Shu, Yun Zhai, Rogério Schmidt Feris, Ying-li Tian, Sergio Borger, Christopher R. Carlson

Proceedings of the Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2007

Searching surveillance video.

Arun Hampapur, Lisa M. Brown, Rogério Schmidt Feris, Andrew W. Senior, Chiao-Fe Shu, Ying-li Tian, Yun Zhai, Max Lu

Proceedings of the Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2007

2006

Specular Highlights Detection and Reduction with Multi-Flash Photography.

Rogério Schmidt Feris, Ramesh Raskar, Kar-Han Tan, Matthew A. Turk

J. Braz. Comput. Soc., 2006

Local approach for face verification in polar frequency domain.

Yossi Zana, Roberto Marcondes Cesar Junior, Rogério Schmidt Feris, Matthew A. Turk

Image Vis. Comput., 2006

Manifold based analysis of facial expression.

Ya Chang, Changbo Hu, Rogério Schmidt Feris, Matthew A. Turk

Image Vis. Comput., 2006

Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging.

Ramesh Raskar, Rogério Schmidt Feris, Jingyi Yu, Matthew A. Turk

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2006

Dealing with Multi-Scale Depth Changes and Motion in Depth Edge Detection.

Rogério Schmidt Feris, Matthew A. Turk, Ramesh Raskar

Proceedings of the 19th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2006), 2006

The Isometric Self-Organizing Map for 3D Hand Pose Estimation.

Haiying Guan, Rogério Schmidt Feris, Matthew A. Turk

Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006

Multi-view Appearance-based 3D Hand Pose Estimation.

Haiying Guan, Jae Sik Chang, Longbin Chen, Rogério Schmidt Feris, Matthew A. Turk

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2005

Harnessing Real-World Depth Edges with Multiflash Imaging.

Ramesh Raskar, Kar-Han Tan, Rogério Schmidt Feris, Matthew A. Turk, James Kobler, Jingyi Yu

IEEE Computer Graphics and Applications, 2005

Face Verification in Polar Frequency Domain: A Biologically Motivated Approach.

Yossi Zana, Roberto Marcondes Cesar Junior, Rogério Schmidt Feris, Matthew A. Turk

Proceedings of the Advances in Visual Computing, First International Symposium, 2005

Discontinuity Preserving Stereo with Small Baseline Multi-Flash Illumination.

Rogério Schmidt Feris, Ramesh Raskar, Longbin Chen, Kar-Han Tan, Matthew A. Turk

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004

Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging.

Ramesh Raskar, Kar-Han Tan, Rogério Schmidt Feris, Jingyi Yu, Matthew A. Turk

ACM Trans. Graph., 2004

A wavelet subspace method for real-time face tracking.

Rogério Schmidt Feris, Volker Krüger, Roberto Marcondes Cesar Junior

Real Time Imaging, 2004

The non-photorealistic camera: automatic stylization with multi-flash imaging.

Ramesh Raskar, Kar-Han Tan, Rogério Schmidt Feris, Jingyi Yu, Matthew A. Turk

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2004

Specular reflection reduction using a multi-flash camera.

Rogério Schmidt Feris, Kar-Han Tan, Ramesh Raskar, Matthew A. Turk

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2004

Specular Reflection Reduction with Multi-Flash Imaging.

Rogério Schmidt Feris, Ramesh Raskar, Kar-Han Tan, Matthew A. Turk

Proceedings of the XVII Brazilian Symposium on Computer Graphics and Image Processing, 2004

Shape-Enhanced Surgical Visualizations and Medical Illustrations with Multi-flash Imaging.

Kar-Han Tan, James Kobler, Paul H. Dietz, Ramesh Raskar, Rogério Schmidt Feris

Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Exploiting Depth Discontinuities for Vision-Based Fingerspelling Recognition.

Rogério Schmidt Feris, Matthew A. Turk, Ramesh Raskar, Kar-Han Tan, Gosuke Ohashi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003

Active Wavelet Networks for Face Alignment.

Changbo Hu, Rogério Schmidt Feris, Matthew A. Turk

Proceedings of the British Machine Vision Conference, 2003

Real-time View-based Face Alignment using Active Wavelet Networks.

Changbo Hu, Rogério Schmidt Feris, Matthew A. Turk

Proceedings of the 2003 IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG 2003), 2003

2002

Hierarchical Wavelet Networks for Facial Feature Localization.

Rogério Schmidt Feris, Jim Gemmell, Kentaro Toyama, Volker Krüger

Proceedings of the 5th IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2002), 2002

2001

Locating and Tracking Facial Landmarks Using Gabor Wavelet Networks.

Rogério Schmidt Feris, Roberto Marcondes Cesar Junior

Proceedings of the Advances in Pattern Recognition, 2001

Wavelet Subspace Method for Real-Time Face Tracking.

Volker Krüger, Rogério Schmidt Feris

Proceedings of the Pattern Recognition, 2001

2000

Tracking Facial Features using Gabor Wavelet Networks.

Rogério Schmidt Feris, Roberto Marcondes Cesar Junior

Proceedings of the 13th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2000), 2000

Improved Face×Non-Face Discrimination using Fourier Descriptors through Feature Selection.

Teófilo Emídio de Campos, Rogério Schmidt Feris, Roberto Marcondes Cesar Junior

Proceedings of the 13th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2000), 2000

Detection and Tracking of Facial Features in Video Sequences.

Rogério Schmidt Feris, Teófilo Emídio de Campos, Roberto Marcondes Cesar Junior

Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000

Eigenfaces Versus Eigeneyes: First Steps Toward Performance Assessment of Representations for Face Recognition.

Teófilo Emídio de Campos, Rogério Schmidt Feris, Roberto Marcondes Cesar Junior

Proceedings of the MICAI 2000: Advances in Artificial Intelligence, 2000