Data-driven visual similarity for cross-domain image matching. - Abhinav Shrivastava; Tomasz Malisiewicz; Abhinav Gupta 001; Alexei A. Efros (ACM Trans. Graph., 2011)

Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes. - Abhinav Shrivastava; Saurabh Singh; Abhinav Gupta 001 (ECCV (3), 2012)

Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval. - Tomasz Malisiewicz; Abhinav Shrivastava; Abhinav Gupta 001; Alexei A. Efros (ICML, 2012)

NEIL: Extracting Visual Knowledge from Web Data. - Xinlei Chen; Abhinav Shrivastava; Abhinav Gupta 001 (ICCV, 2013)

Building Part-Based Object Detectors via 3D Geometry. - Abhinav Shrivastava; Abhinav Gupta 001 (ICCV, 2013)

Enriching Visual Knowledge Bases via Object Discovery and Segmentation. - Xinlei Chen; Abhinav Shrivastava; Abhinav Gupta 001 (CVPR, 2014)

Data-driven exemplar model selection. - Ishan Misra; Abhinav Shrivastava; Martial Hebert (WACV, 2014)

Watch and learn: Semi-supervised learning of object detectors from videos. - Ishan Misra; Abhinav Shrivastava; Martial Hebert (CVPR, 2015)

Mid-level Elements for Object Detection. - Aayush Bansal; Abhinav Shrivastava; Carl Doersch; Abhinav Gupta 001 (CoRR, 2015)

Applying artificial vision models to human scene understanding. - Elissa Michele Aminoff; Mariya Toneva; Abhinav Shrivastava; Xinlei Chen; Ishan Misra; Abhinav Gupta 001; Michael J. Tarr (Frontiers Comput. Neurosci., 2015)

Cross-Stitch Networks for Multi-task Learning. - Ishan Misra; Abhinav Shrivastava; Abhinav Gupta 001; Martial Hebert (CVPR, 2016)

Training Region-Based Object Detectors with Online Hard Example Mining. - Abhinav Shrivastava; Abhinav Gupta 001; Ross B. Girshick (CVPR, 2016)

Contextual Priming and Feedback for Faster R-CNN. - Abhinav Shrivastava; Abhinav Gupta 001 (ECCV (1), 2016)

Beyond Skip Connections: Top-Down Modulation for Object Detection. - Abhinav Shrivastava; Rahul Sukthankar; Jitendra Malik; Abhinav Gupta 001 (CoRR, 2016)

A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection. - Xiaolong Wang 004; Abhinav Shrivastava; Abhinav Gupta 001 (CVPR, 2017)

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. - Chen Sun 002; Abhinav Shrivastava; Saurabh Singh; Abhinav Gupta 001 (ICCV, 2017)

Discovering and Leveraging Visual Structure for Large-Scale Recognation. - Abhinav Shrivastava (2017)

Actor-Centric Relation Network. - Chen Sun 002; Abhinav Shrivastava; Carl Vondrick; Kevin Murphy 002; Rahul Sukthankar; Cordelia Schmid (ECCV (11), 2018)

Tracking Emerges by Colorizing Videos. - Carl Vondrick; Abhinav Shrivastava; Alireza Fathi; Sergio Guadarrama; Kevin Murphy 002 (ECCV (13), 2018)

Relational Action Forecasting. - Chen Sun 002; Abhinav Shrivastava; Carl Vondrick; Rahul Sukthankar; Kevin Murphy 002; Cordelia Schmid (CVPR, 2019)

EvalNorm: Estimating Batch Normalization Statistics for Evaluation. - Saurabh Singh; Abhinav Shrivastava (ICCV, 2019)

Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion. - Tao Hu 006; Zhizhong Han; Abhinav Shrivastava; Matthias Zwicker (ICCV Workshops, 2019)

Unsupervised Data Uncertainty Learning in Visual Retrieval Systems. - Ahmed Taha 001; Yi-Ting Chen 001; Teruhisa Misu; Abhinav Shrivastava; Larry Davis 001 (CoRR, 2019)

Referring to Objects in Videos using Spatio-Temporal Identifying Descriptions. - Peratham Wiriyathammabhum; Abhinav Shrivastava; Vlad I. Morariu; Larry S. Davis (CoRR, 2019)

Model Compression by Entropy Penalized Reparameterization. - Deniz Oktay; Johannes Ballé; Saurabh Singh; Abhinav Shrivastava (CoRR, 2019)

Depth Completion Using a View-constrained Deep Prior. - Pallabi Ghosh; Vibhav Vineet; Larry S. Davis; Abhinav Shrivastava; Sudipta N. Sinha; Neel Joshi (3DV, 2020)

Improved Modeling of 3D Shapes with Multi-view Depth Maps. - Kamal Gupta 002; Susmija Jabbireddy; Ketul Shah; Abhinav Shrivastava; Matthias Zwicker (3DV, 2020)

Detecting Human-Object Interactions via Functional Generalization. - Ankan Bansal; Sai Saketh Rambhatla; Abhinav Shrivastava; Rama Chellappa (AAAI, 2020)

Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. - Peng Zhou 009; Bor-Chun Chen; Xintong Han; Mahyar Najibi; Abhinav Shrivastava; Ser-Nam Lim; Larry Davis 001 (AAAI, 2020)

PatchVAE: Learning Local Latent Codes for Recognition. - Kamal Gupta 002; Saurabh Singh; Abhinav Shrivastava (CVPR, 2020)

Quantization Guided JPEG Artifact Correction. - Max Ehrlich; Larry Davis 001; Ser-Nam Lim; Abhinav Shrivastava (ECCV (8), 2020)

A Generic Visualization Approach for Convolutional Neural Networks. - Ahmed Taha 001; Xitong Yang; Abhinav Shrivastava; Larry Davis 001 (ECCV (17), 2020)

Curriculum Manager for Source Selection in Multi-source Domain Adaptation. - Luyu Yang; Yogesh Balaji; Ser-Nam Lim; Abhinav Shrivastava (ECCV (14), 2020)

End-to-End Learning of Compressible Features. - Saurabh Singh; Sami Abu-El-Haija; Nick Johnston; Johannes Ballé; Abhinav Shrivastava; George Toderici (ICIP, 2020)

Scalable Model Compression by Entropy Penalized Reparameterization. - Deniz Oktay; Johannes Ballé; Saurabh Singh; Abhinav Shrivastava (ICLR, 2020)

Hand-Priming in Object Localization for Assistive Egocentric Vision. - Kyungjun Lee 001; Abhinav Shrivastava; Hernisa Kacorri (WACV, 2020)

Boosting Standard Classification Architectures Through a Ranking Regularizer. - Ahmed Taha 001; Yi-Ting Chen 001; Teruhisa Misu; Abhinav Shrivastava; Larry Davis 001 (WACV, 2020)

Deep Depth Prior for Multi-View Stereo. - Pallabi Ghosh; Vibhav Vineet; Larry S. Davis; Abhinav Shrivastava; Sudipta N. Sinha; Neel Joshi (CoRR, 2020)

Spatial Priming for Detecting Human-Object Interactions. - Ankan Bansal; Sai Saketh Rambhatla; Abhinav Shrivastava; Rama Chellappa (CoRR, 2020)

Layout Generation and Completion with Self-attention. - Kamal Gupta 002; Alessandro Achille; Justin Lazarow; Larry Davis 001; Vijay Mahadevan; Abhinav Shrivastava (CoRR, 2020)

Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet. - Hao Chen 066; Abhinav Shrivastava (CoRR, 2020)

MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation. - Luyu Yang; Yan Wang 051; Mingfei Gao; Abhinav Shrivastava; Kilian Q. Weinberger; Wei-Lun Chao; Ser-Nam Lim (CoRR, 2020)

All About Knowledge Graphs for Actions. - Pallabi Ghosh; Nirat Saini; Larry S. Davis; Abhinav Shrivastava (CoRR, 2020)

Learning Visual Representations for Transfer Learning by Suppressing Texture. - Shlok Kumar Mishra; Anshul Shah; Ankan Bansal; Jonghyun Choi; Abhinav Shrivastava; Abhishek Sharma 001; David W. Jacobs (CoRR, 2020)

Analyzing and Mitigating Compression Defects in Deep Learning. - Max Ehrlich; Larry Davis 001; Ser-Nam Lim; Abhinav Shrivastava (CoRR, 2020)

A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion. - Terrance E. Boult; Przemyslaw A. Grabowicz; Derek S. Prijatelj; Roni Stern; Larry B. Holder; Joshua Alspector; Mohsen Jafarzadeh; Touqeer Ahmad; Akshay Raj Dhamija; Chunchun Li; Steve Cruz; Abhinav Shrivastava; et al. (CoRR, 2020)

Deep Multimodal Learning for the Diagnosis of Autism Spectrum Disorder. - Michelle Tang; Pulkit Kumar; Hao Chen 066; Abhinav Shrivastava (J. Imaging, 2020)

Towards a Unifying Framework for Formal Theories of Novelty. - Terrance E. Boult; Przemyslaw A. Grabowicz; Derek S. Prijatelj; Roni Stern; Lawrence Holder; Joshua Alspector; Mohsen Jafarzadeh; Touqeer Ahmad; Akshay Raj Dhamija; Chunchun Li; Steve Cruz; Abhinav Shrivastava; et al. (AAAI, 2021)

Deep Video Inpainting Detection. - Peng Zhou 009; Ning Yu 006; Zuxuan Wu; Larry Davis 001; Abhinav Shrivastava; Ser-Nam Lim (BMVC, 2021)

HR-RCNN: Hierarchical Relational Reasoning for Object Detection. - Hao Chen 066; Abhinav Shrivastava (BMVC, 2021)

GTA: Global Temporal Attention for Video Action Understanding. - Bo He 004; Xitong Yang; Zuxuan Wu; Hao Chen 066; Ser-Nam Lim; Abhinav Shrivastava (BMVC, 2021)

Knowledge Evolution in Neural Networks. - Ahmed Taha 001; Abhinav Shrivastava; Larry S. Davis (CVPR, 2021)

Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions. - Navaneeth Bodla; Gaurav Shrivastava; Rama Chellappa; Abhinav Shrivastava (CVPR, 2021)

Learning Graphs for Knowledge Transfer With Limited Labels. - Pallabi Ghosh; Nirat Saini; Larry S. Davis; Abhinav Shrivastava (CVPR, 2021)

The Lottery Ticket Hypothesis for Object Recognition. - Sharath Girish; Shishira R. Maiya; Kamal Gupta 002; Hao Chen 066; Larry S. Davis; Abhinav Shrivastava (CVPR, 2021)

2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. - Hengduo Li; Zuxuan Wu; Abhinav Shrivastava; Larry S. Davis (CVPR, 2021)

StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis. - Moustafa Meshry; Yixuan Ren; Larry S. Davis; Abhinav Shrivastava (CVPR, 2021)

Learning To Predict Visual Attributes in the Wild. - Khoi Pham; Kushal Kafle; Zhe Lin 001; Zhihong Ding; Scott Cohen; Quan Tran; Abhinav Shrivastava (CVPR, 2021)

Towards Discovery and Attribution of Open-world GAN Generated Images. - Sharath Girish; Saksham Suri; Sai Saketh Rambhatla; Abhinav Shrivastava (ICCV, 2021)

LayoutTransformer: Layout Generation and Completion with Self-attention. - Kamal Gupta 002; Justin Lazarow; Alessandro Achille; Larry Davis 001; Vijay Mahadevan; Abhinav Shrivastava (ICCV, 2021)

Learned Spatial Representations for Few-shot Talking-Head Synthesis. - Moustafa Meshry; Saksham Suri; Larry S. Davis; Abhinav Shrivastava (ICCV, 2021)

The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. - Sai Saketh Rambhatla; Rama Chellappa; Abhinav Shrivastava (ICCV, 2021)

Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation. - Luyu Yang; Yan Wang 051; Mingfei Gao; Abhinav Shrivastava; Kilian Q. Weinberger; Wei-Lun Chao; Ser-Nam Lim (ICCV, 2021)

Analyzing and Mitigating JPEG Compression Defects in Deep Learning. - Max Ehrlich; Larry Davis 001; Ser-Nam Lim; Abhinav Shrivastava (ICCVW, 2021)

Diverse Video Generation using a Gaussian Process Trigger. - Gaurav Shrivastava; Abhinav Shrivastava (ICLR, 2021)

No-frills Dynamic Planning using Static Planners. - Mara Levy; Vasista Ayyagari; Abhinav Shrivastava (ICRA, 2021)

NeRV: Neural Representations for Videos. - Hao Chen 066; Bo He 004; Hanyu Wang 002; Yixuan Ren; Ser-Nam Lim; Abhinav Shrivastava (NeurIPS, 2021)

PatchGame: Learning to Signal Mid-level Patches in Referential Games. - Kamal Gupta 002; Gowthami Somepalli; Anubhav Gupta; Vinoj Yasanga Jayasundara Magalle Hewa; Matthias Zwicker; Abhinav Shrivastava (NeurIPS, 2021)

SVMax: A Feature Embedding Regularizer. - Ahmed Taha 001; Alex Hanson 002; Abhinav Shrivastava; Larry Davis 001 (CoRR, 2021)

A Frequency Perspective of Adversarial Robustness. - Shishira R. Maiya; Max Ehrlich; Vatsal Agarwal; Ser-Nam Lim; Tom Goldstein; Abhinav Shrivastava (CoRR, 2021)

Rethinking Pseudo Labels for Semi-supervised Object Detection. - Hengduo Li; Zuxuan Wu; Abhinav Shrivastava; Larry S. Davis (AAAI, 2022)

CNeRV: Content-adaptive Neural Representation for Visual Data. - Hao Chen 066; Matthew Gwilliam; Bo He 004; Ser-Nam Lim; Abhinav Shrivastava (BMVC, 2022)

Learning visual representations for transfer learning by suppressing texture. - Shlok Kumar Mishra; Anshul Shah; Ankan Bansal; Janit Anjaria; Jonghyun Choi; Abhinav Shrivastava; Abhishek Sharma 001; David Jacobs 001 (BMVC, 2022)

Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning. - Matthew Gwilliam; Abhinav Shrivastava (CVPR, 2022)

ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization. - Bo He 004; Xitong Yang; Le Kang; Zhiyu Cheng; Xin Zhou 017; Abhinav Shrivastava (CVPR, 2022)

Disentangling Visual Embeddings for Attributes and Objects. - Nirat Saini; Khoi Pham; Abhinav Shrivastava (CVPR, 2022)

Dual-Key Multimodal Backdoors for Visual Question Answering. - Matthew Walmer; Karan Sikka; Indranil Sur; Abhinav Shrivastava; Susmit Jha (CVPR, 2022)

ObjectFormer for Image Manipulation Detection and Localization. - Junke Wang; Zuxuan Wu; Jingjing Chen 001; Xintong Han; Abhinav Shrivastava; Ser-Nam Lim; Yu-Gang Jiang 001 (CVPR, 2022)

Learning Semantic Correspondence with Sparse Annotations. - Shuaiyi Huang; Luyu Yang; Bo He 004; Songyang Zhang; Xuming He 001; Abhinav Shrivastava (ECCV (14), 2022)

Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers. - Khoi Pham; Kushal Kafle; Zhe Lin 001; Zhihong Ding; Scott Cohen; Quan Tran; Abhinav Shrivastava (ECCV (25), 2022)

Neural Space-Filling Curves. - Hanyu Wang 002; Kamal Gupta 002; Larry Davis 001; Abhinav Shrivastava (ECCV (7), 2022)

Burn After Reading: Online Adaptation for Cross-domain Streaming Data. - Luyu Yang; Mingfei Gao; Zeyuan Chen 001; Ran Xu 001; Abhinav Shrivastava; Chetan Ramaiah (ECCV (33), 2022)

Pose and Joint-Aware Action Recognition. - Anshul Shah; Shlok Mishra; Ankan Bansal; Jun-Cheng Chen; Rama Chellappa; Abhinav Shrivastava (WACV, 2022)

Sparsely Annotated Object Detection: A Region-based Semi-supervised Approach. - Sai Saketh Rambhatla; Saksham Suri; Rama Chellappa; Abhinav Shrivastava (CoRR, 2022)

Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction. - Max Ehrlich; Jon Barker; Namitha Padmanabhan; Larry Davis 001; Andrew Tao; Bryan Catanzaro; Abhinav Shrivastava (CoRR, 2022)

Occupancy Map Prediction for Improved Indoor Robot Navigation. - Vishnu Dutt Sharma; Jingxi Chen; Abhinav Shrivastava; Pratap Tokekar (CoRR, 2022)

One Network Doesn't Rule Them All: Moving Beyond Handcrafted Architectures in Self-Supervised Learning. - Sharath Girish; Debadeepta Dey; Neel Joshi; Vibhav Vineet; Shital Shah; Caio César Teodoro Mendes; Abhinav Shrivastava; Yale Song (CoRR, 2022)

Unifying the Harmonic Analysis of Adversarial Attacks and Robustness. - Shishira R. Maiya; Max Ehrlich; Vatsal Agarwal; Ser-Nam Lim; Tom Goldstein; Abhinav Shrivastava (BMVC, 2023)

FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views. - Vinoj Jayasundara 001; Amit Agrawal; Nicolas Heron; Abhinav Shrivastava; Larry S. Davis (CVPR, 2023)

Align and Attend: Multimodal Summarization with Dual Contrastive Losses. - Bo He 004; Jun Wang 090; Jielin Qiu; Trung Bui; Abhinav Shrivastava; Zhaowen Wang (CVPR, 2023)

Towards Scalable Neural Representation for Diverse Videos. - Bo He 004; Xitong Yang; Hanyu Wang 002; Zuxuan Wu; Hao Chen 066; Shuaiyi Huang; Yixuan Ren; Ser-Nam Lim; Abhinav Shrivastava (CVPR, 2023)

HNeRV: A Hybrid Neural Representation for Videos. - Hao Chen 066; Matthew Gwilliam; Ser-Nam Lim; Abhinav Shrivastava (CVPR, 2023)

SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network. - Chuong Huynh; Yuqian Zhou; Zhe Lin; Connelly Barnes; Eli Shechtman; Sohrab Amirghodsi; Abhinav Shrivastava (CVPR, 2023)

NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-Wise Modeling. - Shishira R. Maiya; Sharath Girish; Max Ehrlich; Hanyu Wang 002; Kwot Sin Lee; Patrick Poirson; Pengxiang Wu; Chen Wang; Abhinav Shrivastava (CVPR, 2023)

Teaching Matters: Investigating the Role of Supervision in Vision Transformers. - Matthew Walmer; Saksham Suri; Kamal Gupta 002; Abhinav Shrivastava (CVPR, 2023)

COVID-VTS: Fact Extraction and Verification on Short Video Platforms. - Fuxiao Liu; Yaser Yacoob; Abhinav Shrivastava (EACL, 2023)

Operationalising Analytics for Action: A Conceptual Framework Linking Embedded Analytics with Decision-Making Agility. - Abhinav Shrivastava; Humza Naseer; Booi Kam 001; Yee Ling Boo; Kok-Leong Ong (ECIS, 2023)

ASIC: Aligning Sparse in-the-wild Image Collections. - Kamal Gupta 002; Varun Jampani; Carlos Esteves; Abhinav Shrivastava; Ameesh Makadia; Noah Snavely; Abhishek Kar (ICCV, 2023)

SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations. - Sharath Girish; Abhinav Shrivastava; Kamal Gupta 002 (ICCV, 2023)

MOST: Multiple Object localization with Self-supervised Transformers for object discovery. - Sai Saketh Rambhatla; Ishan Misra; Rama Chellappa; Abhinav Shrivastava (ICCV, 2023)

Chop & Learn: Recognizing and Generating Object-State Compositions. - Nirat Saini; Hanyu Wang 002; Archana Swaminathan; Vinoj Jayasundara 001; Bo He 004; Kamal Gupta 002; Abhinav Shrivastava (ICCV, 2023)

SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining. - Saksham Suri; Sai Saketh Rambhatla; Rama Chellappa; Abhinav Shrivastava (ICCV, 2023)

BT2: Backward-compatible Training with Basis Transformation. - Yifei Zhou; Zilu Li; Abhinav Shrivastava; Hengshuang Zhao; Antonio Torralba 001; Tai-Peng Tian; Ser-Nam Lim (ICCV, 2023)

LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification. - Sharath Girish; Kamal Gupta 002; Saurabh Singh; Abhinav Shrivastava (ICLR, 2023)

Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements. - Gaurav Shrivastava; Ser Nam Lim; Abhinav Shrivastava (NeurIPS, 2023)

Diffusion Models Beat GANs on Image Classification. - Soumik Mukhopadhyay 001; Matthew Gwilliam; Vatsal Agarwal; Namitha Padmanabhan; Archana Swaminathan; Srinidhi Hegde; Tianyi Zhou 001; Abhinav Shrivastava (CoRR, 2023)

Do text-free diffusion models learn discriminative visual representations? - Soumik Mukhopadhyay 001; Matthew Gwilliam; Yosuke Yamaguchi; Vatsal Agarwal; Namitha Padmanabhan; Archana Swaminathan; Tianyi Zhou 001; Abhinav Shrivastava (CoRR, 2023)

Gen2Det: Generate to Detect. - Saksham Suri; Fanyi Xiao; Animesh Sinha; Sean Chang Culatana; Raghuraman Krishnamoorthi; Chenchen Zhu; Abhinav Shrivastava (CoRR, 2023)

Leveraging Hand-Object Interactions in Assistive Egocentric Vision. - Kyungjun Lee 001; Abhinav Shrivastava; Hernisa Kacorri (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Transforming Resources to Operationalize Analytics: An Empirical Investigation. - Abhinav Shrivastava; Humza Naseer; Stuart Black; Booi Kam 001; Yee Ling Boo; Kok-Leong Ong (ACIS, 2024)

MA-LMM: Memory-Augmented Large Multimodal Model for Long-Term Video Understanding. - Bo He 004; Hengduo Li; Young Kyun Jang; Menglin Jia; Xuefei Cao; Ashish Shah; Abhinav Shrivastava; Ser-Nam Lim (CVPR, 2024)

What is Point Supervision Worth in Video Instance Segmentation? - Shuaiyi Huang; De-An Huang; Zhiding Yu; Shiyi Lan; Subhashree Radhakrishnan; José M. Álvarez 004; Abhinav Shrivastava; Anima Anandkumar (CVPR Workshops, 2024)

UVIS: Unsupervised Video Instance Segmentation. - Shuaiyi Huang; Saksham Suri; Kamal Gupta 002; Sai Saketh Rambhatla; Ser-Nam Lim; Abhinav Shrivastava (CVPR Workshops, 2024)

MaGGIe: Masked Guided Gradual Human Instance Matting. - Chuong Huynh; Seoung Wug Oh; Abhinav Shrivastava; Joon-Young Lee (CVPR, 2024)

V-VIPE: Variational View Invariant Pose Embedding. - Mara Levy; Abhinav Shrivastava (CVPR Workshops, 2024)

Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing Their Contributions. - Namitha Padmanabhan; Matthew Gwilliam; Pulkit Kumar; Shishira R. Maiya; Max Ehrlich; Abhinav Shrivastava (CVPR, 2024)

Composing Object Relations and Attributes for Image-Text Matching. - Khoi Pham; Chuong Huynh; Ser-Nam Lim; Abhinav Shrivastava (CVPR, 2024)

Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning. - Nirat Saini; Khoi Pham; Abhinav Shrivastava (CVPR, 2024)

Video Prediction by Modeling Videos as Continuous Multi-Dimensional Processes. - Gaurav Shrivastava; Abhinav Shrivastava (CVPR, 2024)

Coarse-to-Fine Human Mesh Recovery with Transformers. - Vatsal Agarwal; Mara Levy; Max Ehrlich; Youbao Tang; Ning Zhang; Abhinav Shrivastava (ECCV Workshops (13), 2024)

Fast Encoding and Decoding for Implicit Video Representation. - Hao Chen 066; Saining Xie; Ser-Nam Lim; Abhinav Shrivastava (ECCV (39), 2024)

EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS. - Sharath Girish; Kamal Gupta 002; Abhinav Shrivastava (ECCV (63), 2024)

Trajectory-Aligned Space-Time Tokens for Few-Shot Action Recognition. - Pulkit Kumar; Namitha Padmanabhan; Luke Luo; Sai Saketh Rambhatla; Abhinav Shrivastava (ECCV (36), 2024)

Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics. - Shishira R. Maiya; Anubhav Gupta; Matthew Gwilliam; Max Ehrlich; Abhinav Shrivastava (ECCV (15), 2024)

Do Text-Free Diffusion Models Learn Discriminative Visual Representations? - Soumik Mukhopadhyay 001; Matthew Gwilliam; Yosuke Yamaguchi; Vatsal Agarwal; Namitha Padmanabhan; Archana Swaminathan; Tianyi Zhou 001; Jun Ohya; Abhinav Shrivastava (ECCV (60), 2024)

Customize-A-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models. - Yixuan Ren; Yang Zhou 009; Jimei Yang; Jing Shi 005; Difan Liu; Feng Liu 015; Mingi Kwon; Abhinav Shrivastava (ECCV (89), 2024)

Investigating Style Similarity in Diffusion Models. - Gowthami Somepalli; Anubhav Gupta; Kamal Gupta 002; Shramay Palta; Micah Goldblum; Jonas Geiping; Abhinav Shrivastava; Tom Goldstein (ECCV (66), 2024)

LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors. - Saksham Suri; Matthew Walmer; Kamal Gupta 002; Abhinav Shrivastava (ECCV (7), 2024)

LEIA: Latent View-Invariant Embeddings for Implicit 3D Articulation. - Archana Swaminathan; Anubhav Gupta; Kamal Gupta 002; Shishira R. Maiya; Vatsal Agarwal; Abhinav Shrivastava (ECCV (16), 2024)

Operationalising Analytics Through Resource Orchestration - An Empirical Examination. - Abhinav Shrivastava; Humza Naseer; Stuart Black; Yee Ling Boo; Booi Kam 001; Kok-Leong Ong (ECIS, 2024)

AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. - Xiyang Wu; Tianrui Guan; Dianqi Li; Shuaiyi Huang; Xiaoyu Liu 003; Xijun Wang 002; Ruiqi Xian; Abhinav Shrivastava; Furong Huang; Jordan L. Boyd-Graber; Tianyi Zhou 001; Dinesh Manocha (EMNLP (Findings), 2024)

Video Decomposition Prior: Editing Videos Layer by Layer. - Gaurav Shrivastava; Ser-Nam Lim; Abhinav Shrivastava (ICLR, 2024)

WayEx: Waypoint Exploration using a Single Demonstration. - Mara Levy; Nirat Saini; Abhinav Shrivastava (ICRA, 2024)

ARDuP: Active Region Video Diffusion for Universal Policies. - Shuaiyi Huang; Mara Levy; Zhenyu Jiang 002; Anima Anandkumar; Yuke Zhu; Linxi Fan; De-An Huang; Abhinav Shrivastava (IROS, 2024)

Quantifying NBA Shot Quality: A Deep Network Approach. - Archit Ramanasai Kambhamettu; Abhinav Shrivastava; Matthew Gwilliam (MMSports@MM, 2024)

QUEEN: QUantized Efficient ENcoding of Dynamic Gaussians for Streaming Free-viewpoint Videos. - Sharath Girish; Tianye Li; Amrita Mazumdar; Abhinav Shrivastava; David Luebke; Shalini De Mello (NeurIPS, 2024)

Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization. - Soumik Mukhopadhyay 001; Saksham Suri; Ravi Teja Gadde; Abhinav Shrivastava (WACV, 2024)

Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion. - Hanyu Wang 002; Pengxiang Wu; Kevin Dela Rosa; Chen Wang; Abhinav Shrivastava (WACV, 2024)

Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. - Max Ehrlich; Jon Barker; Namitha Padmanabhan; Larry Davis 001; Andrew Tao; Bryan Catanzaro; Abhinav Shrivastava (WACV, 2024)

Content-Aware Image Color Editing with Auxiliary Color Restoration Tasks. - Yixuan Ren; Jing Shi; Zhifei Zhang; Yifei Fan; Zhe Lin; Bo He 004; Abhinav Shrivastava (WACV, 2024)

GRIT: GAN Residuals for Paired Image-to-Image Translation. - Saksham Suri; Moustafa Meshry; Larry S. Davis; Abhinav Shrivastava (WACV, 2024)

Measuring Style Similarity in Diffusion Models. - Gowthami Somepalli; Anubhav Gupta; Kamal Gupta 002; Shramay Palta; Micah Goldblum; Jonas Geiping; Abhinav Shrivastava; Tom Goldstein (CoRR, 2024)

InVi: Object Insertion In Videos Using Off-the-Shelf Diffusion Models. - Nirat Saini; Navaneeth Bodla; Ashish Shrivastava 001; Avinash Ravichandran; Xiao Zhang; Abhinav Shrivastava; Bharat Singh (CoRR, 2024)

LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior. - Hanyu Wang 002; Saksham Suri; Yixuan Ren; Hao Chen 066; Abhinav Shrivastava (CoRR, 2024)

NeRF-Aug: Data Augmentation for Robotics with Neural Radiance Fields. - Eric Zhu; Mara Levy; Matthew Gwilliam; Abhinav Shrivastava (CoRR, 2024)

VeriGraph: Scene Graphs for Execution Verifiable Robot Planning. - Daniel Ekpo; Mara Levy; Saksham Suri; Chuong Huynh; Abhinav Shrivastava (CoRR, 2024)

Continuous Video Process: Modeling Videos as Continuous Multi-Dimensional Processes for Video Prediction. - Gaurav Shrivastava; Abhinav Shrivastava (CoRR, 2024)

Video Decomposition Prior: A Methodology to Decompose Videos into Layers. - Gaurav Shrivastava; Ser-Nam Lim; Abhinav Shrivastava (CoRR, 2024)

Efficient Continuous Video Flow Model for Video Prediction. - Gaurav Shrivastava; Abhinav Shrivastava (CoRR, 2024)

Challenges, evaluation and opportunities for open-world learning. - Mayank Kejriwal; Eric J. Kildebeck; Robert J. Steininger; Abhinav Shrivastava (Nat. Mac. Intell., 2024)

CoLLM: A Large Language Model for Composed Image Retrieval. - Chuong Huynh; Jinyu Yang; Ashish Tawari; Mubarak Shah; Son Tran; Raffay Hamid; Trishul Chilimbi; Abhinav Shrivastava (CVPR, 2025)

Multi-entity Video Transformers for Fine-Grained Video Representation Learning. - Matthew Walmer; Rose Catherine Kanjirathinkal; Kai Sheng Tai; Keyur Muzumdar; Tai-Peng Tian; Abhinav Shrivastava (CVPR Workshops, 2025)

LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior. - Hanyu Wang; Saksham Suri; Yixuan Ren; Hao Chen; Abhinav Shrivastava (ICLR, 2025)

A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. - Matthew Gwilliam; Michael Cogswell; Meng Ye 002; Karan Sikka; Abhinav Shrivastava; Ajay Divakaran (WACV, 2025)

Unified Framework for Open-World Compositional Zero-Shot Learning. - Hirunima Jayasekara; Khoi Pham; Nirat Saini; Abhinav Shrivastava (WACV, 2025)

Accelerate High-Quality Diffusion Models with Inner Loop Feedback. - Matthew Gwilliam; Han Cai; Di Wu; Abhinav Shrivastava; Zhiyu Cheng (CoRR, 2025)

Mitigating Hallucinations in Diffusion Models through Adaptive Attention Modulation. - Trevine Oorloff; Yaser Yacoob; Abhinav Shrivastava (CoRR, 2025)

Utilization of Neighbor Information for Image Classification with Different Levels of Supervision. - Gihan Jayatilaka; Abhinav Shrivastava; Matthew Gwilliam (CoRR, 2025)

TREND: Tri-teaching for Robust Preference-based Reinforcement Learning with Demonstrations. - Shuaiyi Huang; Mara Levy; Anubhav Gupta; Daniel Ekpo; Ruijie Zheng; Abhinav Shrivastava (CoRR, 2025)

Imagine, Verify, Execute: Memory-Guided Agentic Exploration with Vision-Language Models. - Seungjae Lee; Daniel Ekpo; Haowen Liu; Furong Huang; Abhinav Shrivastava; Jia-Bin Huang (CoRR, 2025)

Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model. - Anirud Aggarwal; Abhinav Shrivastava; Matthew Gwilliam (CoRR, 2025)

SIEDD: Shared-Implicit Encoder with Discrete Decoders. - Vikram Rangarajan; Shishira R. Maiya; Max Ehrlich; Abhinav Shrivastava (CoRR, 2025)

How to Design and Train Your Implicit Neural Representation for Video Compression. - Matthew Gwilliam; Roy Zhang; Namitha Padmanabhan; Hongyang Du; Abhinav Shrivastava (CoRR, 2025)

Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor. - Vatsal Agarwal; Matthew Gwilliam; Gefen Kohavi; Eshan Verma; Daniel Ulbricht; Abhinav Shrivastava (CoRR, 2025)

Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition. - Pulkit Kumar; Shuaiyi Huang; Matthew Walmer; Sai Saketh Rambhatla; Abhinav Shrivastava (CoRR, 2025)