Abhinav Shrivastava

Matthew Gwilliam

Proceedings of the 7th ACM International Workshop on Multimedia Content Analysis in Sports, 2024

WayEx: Waypoint Exploration using a Single Demonstration.

[BibT_eX]

[DOI]

Mara Levy

Nirat Saini

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

Video Decomposition Prior: Editing Videos Layer by Layer.

[BibT_eX]

[DOI]

Ser-Nam Lim

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models.

[BibT_eX]

[DOI]

Jordan L. Boyd-Graber

Tianyi Zhou

Dinesh Manocha

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

Operationalising Analytics Through Resource Orchestration - An Empirical Examination.

[BibT_eX]

[DOI]

Proceedings of the 32nd European Conference on Information Systems, 2024

LEIA: Latent View-Invariant Embeddings for Implicit 3D Articulation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Trajectory-Aligned Space-Time Tokens for Few-Shot Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Fast Encoding and Decoding for Implicit Video Representation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Video Prediction by Modeling Videos as Continuous Multi-Dimensional Processes.

[BibT_eX]

[DOI]

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

Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning.

[BibT_eX]

[DOI]

Nirat Saini

Khoi Pham

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

Composing Object Relations and Attributes for Image-Text Matching.

[BibT_eX]

[DOI]

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

Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing Their Contributions.

[BibT_eX]

[DOI]

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

V-VIPE: Variational View Invariant Pose Embedding.

[BibT_eX]

[DOI]

Mara Levy

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

MaGGIe: Masked Guided Gradual Human Instance Matting.

[BibT_eX]

[DOI]

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

UVIS: Unsupervised Video Instance Segmentation.

[BibT_eX]

[DOI]

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

What is Point Supervision Worth in Video Instance Segmentation?

[BibT_eX]

[DOI]

Subhashree Radhakrishnan

José M. Álvarez

Anima Anandkumar

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

MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding.

[BibT_eX]

[DOI]

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

2023

Leveraging Hand-Object Interactions in Assistive Egocentric Vision.

[BibT_eX]

[DOI]

Kyungjun Lee

Raghuraman Krishnamoorthi

Hernisa Kacorri

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Gen2Det: Generate to Detect.

[BibT_eX]

[DOI]

Chenchen Zhu

CoRR, 2023

EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS.

[BibT_eX]

[DOI]

Sharath Girish

Rose Catherine Kanjirathinkal

CoRR, 2023

A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval.

[BibT_eX]

[DOI]

CoRR, 2023

Do text-free diffusion models learn discriminative visual representations?

[BibT_eX]

[DOI]

CoRR, 2023

Multi-entity Video Transformers for Fine-Grained Video Representation Learning.

[BibT_eX]

[DOI]

Matthew Walmer

CoRR, 2023

Diffusion Models Beat GANs on Image Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements.

[BibT_eX]

[DOI]

Ser Nam Lim

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

LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

BT<sup>2</sup>: Backward-compatible Training with Basis Transformation.

[BibT_eX]

[DOI]

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

SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining.

[BibT_eX]

[DOI]

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

Chop & Learn: Recognizing and Generating Object-State Compositions.

[BibT_eX]

[DOI]

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

MOST: Multiple Object localization with Self-supervised Transformers for object discovery.

[BibT_eX]

[DOI]

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

SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations.

[BibT_eX]

[DOI]

Sharath Girish

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

ASIC: Aligning Sparse in-the-wild Image Collections.

[BibT_eX]

[DOI]

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

Operationalising Analytics for Action: A Conceptual Framework Linking Embedded Analytics with Decision-Making Agility.

[BibT_eX]

[DOI]

Proceedings of the 31st European Conference on Information Systems, 2023

COVID-VTS: Fact Extraction and Verification on Short Video Platforms.

[BibT_eX]

[DOI]

Fuxiao Liu

Yaser Yacoob

Caio César Teodoro Mendes

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Teaching Matters: Investigating the Role of Supervision in Vision Transformers.

[BibT_eX]

[DOI]

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

NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-Wise Modeling.

[BibT_eX]

[DOI]

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

SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network.

[BibT_eX]

[DOI]

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

HNeRV: A Hybrid Neural Representation for Videos.

[BibT_eX]

[DOI]

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

Towards Scalable Neural Representation for Diverse Videos.

[BibT_eX]

[DOI]

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

Align and Attend: Multimodal Summarization with Dual Contrastive Losses.

[BibT_eX]

[DOI]

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

FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views.

[BibT_eX]

[DOI]

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

Unifying the Harmonic Analysis of Adversarial Attacks and Robustness.

[BibT_eX]

[DOI]

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning.

[BibT_eX]

[DOI]

Yale Song

CoRR, 2022

Occupancy Map Prediction for Improved Indoor Robot Navigation.

[BibT_eX]

[DOI]

CoRR, 2022

Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction.

[BibT_eX]

[DOI]

CoRR, 2022

Sparsely Annotated Object Detection: A Region-based Semi-supervised Approach.

[BibT_eX]

[DOI]

CoRR, 2022

Pose and Joint-Aware Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Burn After Reading: Online Adaptation for Cross-domain Streaming Data.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Neural Space-Filling Curves.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Semantic Correspondence with Sparse Annotations.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

ObjectFormer for Image Manipulation Detection and Localization.

[BibT_eX]

[DOI]

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

Dual-Key Multimodal Backdoors for Visual Question Answering.

[BibT_eX]

[DOI]

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

Disentangling Visual Embeddings for Attributes and Objects.

[BibT_eX]

[DOI]

Nirat Saini

Khoi Pham

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

ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization.

[BibT_eX]

[DOI]

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

Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning.

[BibT_eX]

[DOI]

Matthew Gwilliam

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

Learning visual representations for transfer learning by suppressing texture.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

CNeRV: Content-adaptive Neural Representation for Visual Data.

[BibT_eX]

[DOI]

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Rethinking Pseudo Labels for Semi-supervised Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

A Frequency Perspective of Adversarial Robustness.

[BibT_eX]

[DOI]

CoRR, 2021

SVMax: A Feature Embedding Regularizer.

[BibT_eX]

[DOI]

CoRR, 2021

PatchGame: Learning to Signal Mid-level Patches in Referential Games.

[BibT_eX]

[DOI]

Vinoj Yasanga Jayasundara Magalle Hewa

Gowthami Somepalli

Anubhav Gupta

Matthias Zwicker

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

NeRV: Neural Representations for Videos.

[BibT_eX]

[DOI]

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

No-frills Dynamic Planning using Static Planners.

[BibT_eX]

[DOI]

Mara Levy

Vasista Ayyagari

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Diverse Video Generation using a Gaussian Process Trigger.

[BibT_eX]

[DOI]

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

Analyzing and Mitigating JPEG Compression Defects in Deep Learning.

[BibT_eX]

[DOI]

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

The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory.

[BibT_eX]

[DOI]

Sai Saketh Rambhatla

Rama Chellappa

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

Learned Spatial Representations for Few-shot Talking-Head Synthesis.

[BibT_eX]

[DOI]

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

LayoutTransformer: Layout Generation and Completion with Self-attention.

[BibT_eX]

[DOI]

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

Towards Discovery and Attribution of Open-world GAN Generated Images.

[BibT_eX]

[DOI]

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

Learning To Predict Visual Attributes in the Wild.

[BibT_eX]

[DOI]

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

StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis.

[BibT_eX]

[DOI]

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

2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition.

[BibT_eX]

[DOI]

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

The Lottery Ticket Hypothesis for Object Recognition.

[BibT_eX]

[DOI]

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

Learning Graphs for Knowledge Transfer With Limited Labels.

[BibT_eX]

[DOI]

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

Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions.

[BibT_eX]

[DOI]

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

Knowledge Evolution in Neural Networks.

[BibT_eX]

[DOI]

Ahmed Taha

Larry S. Davis

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

GTA: Global Temporal Attention for Video Action Understanding.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

HR-RCNN: Hierarchical Relational Reasoning for Object Detection.

[BibT_eX]

[DOI]

Hao Chen

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Deep Video Inpainting Detection.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Towards a Unifying Framework for Formal Theories of Novelty.

[BibT_eX]

[DOI]

Terrance E. Boult

Przemyslaw A. Grabowicz

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

2020

Deep Multimodal Learning for the Diagnosis of Autism Spectrum Disorder.

[BibT_eX]

[DOI]

J. Imaging, 2020

A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion.

[BibT_eX]

[DOI]

Terrance E. Boult

Przemyslaw A. Grabowicz

CoRR, 2020

Analyzing and Mitigating Compression Defects in Deep Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Visual Representations for Transfer Learning by Suppressing Texture.

[BibT_eX]

[DOI]

CoRR, 2020

All About Knowledge Graphs for Actions.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet.

[BibT_eX]

[DOI]

Hao Chen

CoRR, 2020

Layout Generation and Completion with Self-attention.

[BibT_eX]

[DOI]

CoRR, 2020

Spatial Priming for Detecting Human-Object Interactions.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Depth Prior for Multi-View Stereo.

[BibT_eX]

[DOI]

CoRR, 2020

Boosting Standard Classification Architectures Through a Ranking Regularizer.

[BibT_eX]

[DOI]

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

Hand-Priming in Object Localization for Assistive Egocentric Vision.

[BibT_eX]

[DOI]

Kyungjun Lee

Hernisa Kacorri

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

Scalable Model Compression by Entropy Penalized Reparameterization.

[BibT_eX]

[DOI]

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

End-to-End Learning of Compressible Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Curriculum Manager for Source Selection in Multi-source Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

A Generic Visualization Approach for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Quantization Guided JPEG Artifact Correction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

PatchVAE: Learning Local Latent Codes for Recognition.

[BibT_eX]

[DOI]

Saurabh Singh

Peratham Wiriyathammabhum

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

Generate, Segment, and Refine: Towards Generic Manipulation Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Detecting Human-Object Interactions via Functional Generalization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Improved Modeling of 3D Shapes with Multi-view Depth Maps.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on 3D Vision, 2020

Depth Completion Using a View-constrained Deep Prior.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Model Compression by Entropy Penalized Reparameterization.

[BibT_eX]

[DOI]

CoRR, 2019

Referring to Objects in Videos using Spatio-Temporal Identifying Descriptions.

[BibT_eX]

[DOI]

Vlad I. Morariu

Larry S. Davis

CoRR, 2019

Unsupervised Data Uncertainty Learning in Visual Retrieval Systems.

[BibT_eX]

[DOI]

CoRR, 2019

Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion.

[BibT_eX]

[DOI]

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

EvalNorm: Estimating Batch Normalization Statistics for Evaluation.

[BibT_eX]

[DOI]

Saurabh Singh

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

Relational Action Forecasting.

[BibT_eX]

[DOI]

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

2018

Tracking Emerges by Colorizing Videos.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Actor-Centric Relation Network.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Discovering and Leveraging Visual Structure for Large-Scale Recognation.

[BibT_eX]

[DOI]

PhD thesis, 2017

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection.

[BibT_eX]

[DOI]

Xiaolong Wang

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

2016

Beyond Skip Connections: Top-Down Modulation for Object Detection.

[BibT_eX]

[DOI]

CoRR, 2016

Contextual Priming and Feedback for Faster R-CNN.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

Training Region-Based Object Detectors with Online Hard Example Mining.

[BibT_eX]

[DOI]

Ross B. Girshick

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

Cross-Stitch Networks for Multi-task Learning.

[BibT_eX]

[DOI]

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

2015

Applying artificial vision models to human scene understanding.

[BibT_eX]

[DOI]

Elissa Michele Aminoff

Frontiers Comput. Neurosci., 2015

Mid-level Elements for Object Detection.

[BibT_eX]

[DOI]

CoRR, 2015

Watch and learn: Semi-supervised learning of object detectors from videos.

[BibT_eX]

[DOI]

Ishan Misra

Martial Hebert

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

2014

Data-driven exemplar model selection.

[BibT_eX]

[DOI]

Ishan Misra

Martial Hebert

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

Enriching Visual Knowledge Bases via Object Discovery and Segmentation.

[BibT_eX]

[DOI]

Xinlei Chen

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Building Part-Based Object Detectors via 3D Geometry.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

NEIL: Extracting Visual Knowledge from Web Data.

[BibT_eX]

[DOI]

Xinlei Chen

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes.

[BibT_eX]

[DOI]

Saurabh Singh