Wei-Lun Chao

Rajiv Ramnath

CoRR, 2024

VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images.

[BibT_eX]

[DOI]

CoRR, 2024

CompBench: A Comparative Reasoning Benchmark for Multimodal LLMs.

[BibT_eX]

[DOI]

CoRR, 2024

Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images.

[BibT_eX]

[DOI]

Kazi Sajeed Mehrab

M. Maruf

Arka Daw

Harish Babu Manogaran

Elizabeth G. Campolongo

CoRR, 2024

DiffuBox: Refining 3D Object Detection with Point Diffusion.

[BibT_eX]

[DOI]

CoRR, 2024

Bringing Back the Context: Camera Trap Species Identification as Link Prediction on Multimodal Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2024

Better Monocular 3D Detectors with LiDAR from the Past.

[BibT_eX]

[DOI]

Yurong You

Cheng Perng Phoo

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Pre-training LiDAR-based 3D Object Detectors through Colorization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

BioCLIP: A Vision Foundation Model for the Tree of Life.

[BibT_eX]

[DOI]

Samuel Stevens

Jiaman Wu

Matthew J. Thompson

Elizabeth G. Campolongo

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

Dual-View Visual Contextualization for Web Navigation.

[BibT_eX]

[DOI]

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

Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Visual Analytics on Network Forgetting for Task-Incremental Learning.

[BibT_eX]

[DOI]

Comput. Graph. Forum, June, 2023

Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Federated Learning of Shareable Bases for Personalization-Friendly Image Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Making Batch Normalization Great in Federated Deep Learning.

[BibT_eX]

[DOI]

Jike Zhong

CoRR, 2023

Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data.

[BibT_eX]

[DOI]

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

Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks.

[BibT_eX]

[DOI]

Mohannad Elhamod

Mridul Khurana

Harish Babu Manogaran

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Image-to-Image Translation for Autonomous Driving from Coarsely-Aligned Image Pairs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Probabilistic Uncertainty Quantification of Prediction Models with Application to Visual Localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

On the Importance and Applicability of Pre-Training for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features.

[BibT_eX]

[DOI]

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

LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models.

[BibT_eX]

[DOI]

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

PreSTU: Pre-Training for Scene-Text Understanding.

[BibT_eX]

[DOI]

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

Unified Out-Of-Distribution Detection: A Model-Specific Perspective.

[BibT_eX]

[DOI]

Reza Averly

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

FLEE-GNN: A Federated Learning System for Edge-Enhanced Graph Neural Network in Analyzing Geospatial Resilience of Multicommodity Food Flows.

[BibT_eX]

[DOI]

Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023

Towards Open-World Segmentation of Parts.

[BibT_eX]

[DOI]

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

Train-Once-for-All Personalization.

[BibT_eX]

[DOI]

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

Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning.

[BibT_eX]

[DOI]

Cheng-Hao Tu

Zheda Mai

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

Learning Fractals by Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

On Pre-Training for Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Adaptation from Repeated Traversals for Autonomous Driving.

[BibT_eX]

[DOI]

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

Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection in Self-Driving Cars.

[BibT_eX]

[DOI]

Yurong You

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Sequential Joint Shape and Pose Estimation of Vehicles with Application to Automatic Amodal Segmentation Labeling.

[BibT_eX]

[DOI]

Josephine Monica

Mark E. Campbell

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

How to Train Your MAML to Excel in Few-Shot Classification.

[BibT_eX]

[DOI]

Han-Jia Ye

Proceedings of the Tenth International Conference on Learning Representations, 2022

On Bridging Generic and Personalized Federated Learning for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Learning with Free Object Segments for Long-Tailed Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Detect Mobile Objects from LiDAR Scans Without Labels.

[BibT_eX]

[DOI]

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

One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones.

[BibT_eX]

[DOI]

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

Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions.

[BibT_eX]

[DOI]

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

2021

Two-Stage Mesh Deep Learning for Automated Tooth Segmentation and Landmark Localization on 3D Intraoral Scans.

[BibT_eX]

[DOI]

CoRR, 2021

On Bridging Generic and Personalized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection.

[BibT_eX]

[DOI]

Yurong You

CoRR, 2021

A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.

[BibT_eX]

[DOI]

CoRR, 2021

On Model Calibration for Long-Tailed Object Detection and Instance Segmentation.

[BibT_eX]

[DOI]

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

Gradual Domain Adaptation without Indexed Intermediate Domains.

[BibT_eX]

[DOI]

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

Revisiting Document Representations for Large-Scale Zero-Shot Learning.

[BibT_eX]

[DOI]

Jihyung Kil

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning.

[BibT_eX]

[DOI]

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

MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.

[BibT_eX]

[DOI]

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

Procrustean Training for Imbalanced Deep Learning.

[BibT_eX]

[DOI]

Han-Jia Ye

De-Chuan Zhan

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

Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation.

[BibT_eX]

[DOI]

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

Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Interactive Natural Language-Based Person Search.

[BibT_eX]

[DOI]

Vikram Shree

Mark Campbell

IEEE Robotics Autom. Lett., 2020

Classifier and Exemplar Synthesis for Zero-Shot Learning.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

FedDistill: Making Bayesian Model Ensemble Applicable to Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2020

MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

Revisiting Meta-Learning as Supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Visual Question Answering on 360° Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Wasserstein Distances for Stereo Disparity Estimation.

[BibT_eX]

[DOI]

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

Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Train in Germany, Test in the USA: Making 3D Object Detectors Generalize.

[BibT_eX]

[DOI]

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

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection.

[BibT_eX]

[DOI]

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

2019

LDLS: 3-D Object Segmentation Through Label Diffusion From 2-D Images.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning.

[BibT_eX]

[DOI]

Yan Wang

Kilian Q. Weinberger

Laurens van der Maaten

CoRR, 2019

An Empirical Study of Person Re-Identification with Attributes.

[BibT_eX]

[DOI]

Vikram Shree

Mark E. Campbell

Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

A New Defense Against Adversarial Images: Turning a Weakness into a Strength.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving.

[BibT_eX]

[DOI]

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

Vision-only 3D Tracking for Self-Driving Cars.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

An Empirical Study on Leveraging Scene Graphs for Visual Question Answering.

[BibT_eX]

[DOI]

Cheng Zhang

Dong Xuan

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

2018

Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets.

[BibT_eX]

[DOI]

Hexiang Hu

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning Answer Embeddings for Visual Question Answering.

[BibT_eX]

[DOI]

Hexiang Hu

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

Cross-Dataset Adaptation for Visual Question Answering.

[BibT_eX]

[DOI]

Hexiang Hu

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

2017

Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning.

[BibT_eX]

[DOI]

Soravit Changpinyo

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Video Summarization with Long Short-Term Memory.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Summary Transfer: Exemplar-Based Subset Selection for Video Summarization.

[BibT_eX]

[DOI]

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

Synthesized Classifiers for Zero-Shot Learning.

[BibT_eX]

[DOI]

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

2015

Facial expression recognition based on improved local binary pattern and class-regularized locality preserving projection.

[BibT_eX]

[DOI]

Jian-Jiun Ding

Jun-Zuo Liu

Signal Process., 2015

Large-Margin Determinantal Point Processes.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Exponential Integration for Hamiltonian Monte Carlo.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Diverse Sequential Subset Selection for Supervised Video Summarization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Facial age estimation based on label-sensitive learning and age-oriented regression.

[BibT_eX]

[DOI]

Jun-Zuo Liu

Jian-Jiun Ding

Pattern Recognit., 2013

Facial expression recognition using expression-specific local binary patterns and layer denoising mechanism.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Information, 2013

2012

Facial age estimation based on label-sensitive learning and age-specific local regression.

[BibT_eX]

[DOI]