Shrivastava, Abhinav

101 publications

WACV 2025 A Video Is Worth 10000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran

CVPR 2025 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

CoRL 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

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

CVPRW 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

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

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

NeurIPSW 2024 An Integrated Approach to Open-World Compositional Zero-Shot Learning Hirunima Jayasekara, Khoi Pham, Nirat Saini, Abhinav Shrivastava

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

ECCVW 2024 Coarse-to-Fine Human Mesh Recovery with Transformers Vatsal Agarwal, Mara Levy, Max Ehrlich, Youbao Tang, Ning Zhang, Abhinav Shrivastava

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

ECCV 2024 Customize-a-Video: One-Shot Motion Customization of Text-to-Video Diffusion Models Yixuan Ren, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava

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

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

ECCV 2024 EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS Sharath Girish, Kamal Gupta, Abhinav Shrivastava

CVPR 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

ECCV 2024 Fast Encoding and Decoding for Implicit Video Representation Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava

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

ECCV 2024 Investigating Style Similarity in Diffusion Models Gowthami Somepalli, Anubhav Gupta, Kamal Gupta, Shramay Palta, Micah Goldblum, Jonas A. Geiping, Abhinav Shrivastava, Tom Goldstein

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

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

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

ECCV 2024 LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors Saksham Suri, Matthew Walmer, Kamal Gupta, Abhinav Shrivastava

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

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

WACV 2024 Multimodality-Guided Image Style Transfer Using Cross-Modal GAN Inversion Hanyu Wang, Pengxiang Wu, Kevin Dela Rosa, Chen Wang, Abhinav Shrivastava

NeurIPS 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

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

CVPRW 2024 UVIS: Unsupervised Video Instance Segmentation Shuaiyi Huang, Saksham Suri, Kamal Gupta, Sai Saketh Rambhatla, Ser-Nam Lim, Abhinav Shrivastava

CVPRW 2024 V-VIPE: Variational View Invariant Pose Embedding Mara Levy, Abhinav Shrivastava

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

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

CVPRW 2024 What Is Point Supervision Worth in Video Instance Segmentation? Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, José M. Álvarez, Abhinav Shrivastava, Anima Anandkumar

ICCV 2023 ASIC: Aligning Sparse In-the-Wild Image Collections Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar

CVPR 2023 Align and Attend: Multimodal Summarization with Dual Contrastive Losses Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang

ICCV 2023 BT^2: Backward-Compatible Training with Basis Transformation Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Taipeng Tian, Ser-Nam Lim

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

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

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

ICLR 2023 LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava

ICCV 2023 MOST: Multiple Object Localization with Self-Supervised Transformers for Object Discovery Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, 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, Kwot Sin Lee, Patrick Poirson, Pengxiang Wu, Chen Wang, Abhinav Shrivastava

ICCV 2023 SHACIRA: Scalable HAsh-Grid Compression for Implicit Neural Representations Sharath Girish, Abhinav Shrivastava, Kamal Gupta

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

ICCV 2023 SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-Positive Mining Saksham Suri, Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava

CVPR 2023 Teaching Matters: Investigating the Role of Supervision in Vision Transformers Matthew Walmer, Saksham Suri, Kamal Gupta, Abhinav Shrivastava

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

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

CVPR 2022 ASM-Loc: Action-Aware Segment Modeling for Weakly-Supervised Temporal Action Localization Bo He, Xitong Yang, Le Kang, Zhiyu Cheng, Xin Zhou, Abhinav Shrivastava

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

ECCV 2022 Burn After Reading: Online Adaptation for Cross-Domain Streaming Data Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah

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

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

ECCV 2022 Learning Semantic Correspondence with Sparse Annotations Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava

ECCV 2022 Neural Space-Filling Curves Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava

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

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

ICLRW 2022 Recognizing Actions Using Object States Nirat Saini, Bo He, Gaurav Shrivastava, Sai Saketh Rambhatla, Abhinav Shrivastava

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

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

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

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

ICLR 2021 Diverse Video Generation Using a Gaussian Process Trigger Gaurav Shrivastava, Abhinav Shrivastava

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

CVPR 2021 Knowledge Evolution in Neural Networks Ahmed Taha, Abhinav Shrivastava, Larry S. Davis

ICCV 2021 LayoutTransformer: Layout Generation and Completion with Self-Attention Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry S. Davis, Vijay Mahadevan, Abhinav Shrivastava

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

CVPR 2021 Learning Graphs for Knowledge Transfer with Limited Labels Pallabi Ghosh, Nirat Saini, Larry S. Davis, Abhinav Shrivastava

CVPR 2021 Learning to Predict Visual Attributes in the Wild Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava

NeurIPS 2021 NeRV: Neural Representations for Videos Hao Chen, Bo He, Hanyu Wang, Yixuan Ren, Ser Nam Lim, Abhinav Shrivastava

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

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

CVPR 2021 The Lottery Ticket Hypothesis for Object Recognition Sharath Girish, Shishira R Maiya, Kamal Gupta, Hao Chen, 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 Towards Discovery and Attribution of Open-World GAN Generated Images Sharath Girish, Saksham Suri, Sai Saketh Rambhatla, Abhinav Shrivastava

AAAI 2021 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, Carl Vondrick, Walter J. Scheirer

ECCV 2020 A Generic Visualization Approach for Convolutional Neural Networks Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis

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

ECCV 2020 Curriculum Manager for Source Selection in Multi-Source Domain Adaptation Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava

AAAI 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, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis

WACV 2020 Hand-Priming in Object Localization for Assistive Egocentric Vision Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri

ECCV 2020 Quantization Guided JPEG Artifact Correction Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava

ICLR 2020 Scalable Model Compression by Entropy Penalized Reparameterization Deniz Oktay, Johannes Ballé, Saurabh Singh, Abhinav Shrivastava

ICCVW 2019 Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion Tao Hu, Zhizhong Han, Abhinav Shrivastava, Matthias Zwicker

ECCV 2018 Actor-Centric Relation Network Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid

ECCV 2018 Tracking Emerges by Colorizing Videos Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy

CVPR 2017 A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta

ICCV 2017 Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta

ECCV 2016 Contextual Priming and Feedback for Faster R-CNN Abhinav Shrivastava, Abhinav Gupta

CVPR 2016 Cross-Stitch Networks for Multi-Task Learning Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert

CVPR 2016 Training Region-Based Object Detectors with Online Hard Example Mining Abhinav Shrivastava, Abhinav Gupta, Ross Girshick

CVPR 2015 Watch and Learn: Semi-Supervised Learning for Object Detectors from Video Ishan Misra, Abhinav Shrivastava, Martial Hebert

WACV 2014 Data-Driven Exemplar Model Selection Ishan Misra, Abhinav Shrivastava, Martial Hebert

CVPR 2014 Enriching Visual Knowledge Bases via Object Discovery and Segmentation Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta

ICCV 2013 Building Part-Based Object Detectors via 3D Geometry Abhinav Shrivastava, Abhinav Gupta

ICCV 2013 NEIL: Extracting Visual Knowledge from Web Data Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta

ECCV 2012 Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta

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