Abhinav Shrivastava
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
110
Venues
14
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
110 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICPR | All-in-One Conditioning for Text-to-Image Synthesis. | Hirunima Jayasekara, Chuong Huynh, Yixuan Ren, Christabel Acquaye, Abhinav Shrivastava |
| 2026 | WACV | How to Design and Train Your Implicit Neural Representation for Video Compression. | Matthew Gwilliam, Roy Zhang, Namitha Padmanabhan, Hongyang Du, Abhinav Shrivastava |
| 2025 | CVPR | 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 |
| 2025 | CVPR | 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 |
| 2025 | ICCV | Trokens: Semantic-Aware Relational Trajectory Tokens for Few-Shot Action Recognition. | Pulkit Kumar, Shuaiyi Huang, Matthew Walmer, Sai Saketh Rambhatla, Abhinav Shrivastava |
| 2025 | ICLR | LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior. | Hanyu Wang, Saksham Suri, Yixuan Ren, Hao Chen, Abhinav Shrivastava |
| 2025 | ICRA | TREND: Tri-Teaching for Robust Preference-based Reinforcement Learning with Demonstrations. | Shuaiyi Huang, Mara Levy, Anubhav Gupta, Daniel Ekpo, Ruijie Zheng, Abhinav Shrivastava |
| 2025 | WACV | A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. | Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran |
| 2025 | WACV | Unified Framework for Open-World Compositional Zero-Shot Learning. | Hirunima Jayasekara, Khoi Pham, Nirat Saini, Abhinav Shrivastava |
| 2024 | CVPR | 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 |
| 2024 | CVPR | What is Point Supervision Worth in Video Instance Segmentation? | Shuaiyi Huang, De-An Huang, Zhiding Yu, Shiyi Lan, Subhashree Radhakrishnan, Jos M. lvarez, Abhinav Shrivastava, Anima Anandkumar |
| 2024 | CVPR | UVIS: Unsupervised Video Instance Segmentation. | Shuaiyi Huang, Saksham Suri, Kamal Gupta, Sai Saketh Rambhatla, Ser-Nam Lim, Abhinav Shrivastava |
| 2024 | CVPR | MaGGIe: Masked Guided Gradual Human Instance Matting. | Chuong Huynh, Seoung Wug Oh, Abhinav Shrivastava, Joon-Young Lee |
| 2024 | CVPR | V-VIPE: Variational View Invariant Pose Embedding. | Mara Levy, Abhinav Shrivastava |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Composing Object Relations and Attributes for Image-Text Matching. | Khoi Pham, Chuong Huynh, Ser-Nam Lim, Abhinav Shrivastava |
| 2024 | CVPR | Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning. | Nirat Saini, Khoi Pham, Abhinav Shrivastava |
| 2024 | CVPR | Video Prediction by Modeling Videos as Continuous Multi-Dimensional Processes. | Gaurav Shrivastava, Abhinav Shrivastava |
| 2024 | ECCV | Coarse-to-Fine Human Mesh Recovery with Transformers. | Vatsal Agarwal, Mara Levy, Max Ehrlich, Youbao Tang, Ning Zhang, Abhinav Shrivastava |
| 2024 | ECCV | Fast Encoding and Decoding for Implicit Video Representation. | Hao Chen, Saining Xie, Ser-Nam Lim, Abhinav Shrivastava |
| 2024 | ECCV | EAGLES: Efficient Accelerated 3D Gaussians with Lightweight EncodingS. | Sharath Girish, Kamal Gupta, Abhinav Shrivastava |
| 2024 | ECCV | Trajectory-Aligned Space-Time Tokens for Few-Shot Action Recognition. | Pulkit Kumar, Namitha Padmanabhan, Luke Luo, Sai Saketh Rambhatla, Abhinav Shrivastava |
| 2024 | ECCV | Latent-INR: A Flexible Framework for Implicit Representations of Videos with Discriminative Semantics. | Shishira R. Maiya, Anubhav Gupta, Matthew Gwilliam, Max Ehrlich, Abhinav Shrivastava |
| 2024 | ECCV | Do Text-Free Diffusion Models Learn Discriminative Visual Representations? | Soumik Mukhopadhyay, Matthew Gwilliam, Yosuke Yamaguchi, Vatsal Agarwal, Namitha Padmanabhan, Archana Swaminathan, Tianyi Zhou, Jun Ohya, Abhinav Shrivastava |
| 2024 | ECCV | 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 |
| 2024 | ECCV | Investigating Style Similarity in Diffusion Models. | Gowthami Somepalli, Anubhav Gupta, Kamal Gupta, Shramay Palta, Micah Goldblum, Jonas Geiping, Abhinav Shrivastava, Tom Goldstein |
| 2024 | ECCV | LiFT: A Surprisingly Simple Lightweight Feature Transform for Dense ViT Descriptors. | Saksham Suri, Matthew Walmer, Kamal Gupta, Abhinav Shrivastava |
| 2024 | ECCV | LEIA: Latent View-Invariant Embeddings for Implicit 3D Articulation. | Archana Swaminathan, Anubhav Gupta, Kamal Gupta, Shishira R. Maiya, Vatsal Agarwal, Abhinav Shrivastava |
| 2024 | EMNLP | AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models. | Xiyang Wu, Tianrui Guan, Dianqi Li, Shuaiyi Huang, Xiaoyu Liu, Xijun Wang, Ruiqi Xian, Abhinav Shrivastava, Furong Huang, Jordan L. Boyd-Graber, Tianyi Zhou, Dinesh Manocha |
| 2024 | ICLR | Video Decomposition Prior: Editing Videos Layer by Layer. | Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava |
| 2024 | ICRA | WayEx: Waypoint Exploration using a Single Demonstration. | Mara Levy, Nirat Saini, Abhinav Shrivastava |
| 2024 | IROS | ARDuP: Active Region Video Diffusion for Universal Policies. | Shuaiyi Huang, Mara Levy, Zhenyu Jiang, Anima Anandkumar, Yuke Zhu, Linxi Fan, De-An Huang, Abhinav Shrivastava |
| 2024 | WACV | Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization. | Soumik Mukhopadhyay, Saksham Suri, Ravi Teja Gadde, Abhinav Shrivastava |
| 2024 | WACV | Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion. | Hanyu Wang, Pengxiang Wu, Kevin Dela Rosa, Chen Wang, Abhinav Shrivastava |
| 2024 | WACV | 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 |
| 2024 | WACV | Content-Aware Image Color Editing with Auxiliary Color Restoration Tasks. | Yixuan Ren, Jing Shi, Zhifei Zhang, Yifei Fan, Zhe Lin, Bo He, Abhinav Shrivastava |
| 2024 | WACV | GRIT: GAN Residuals for Paired Image-to-Image Translation. | Saksham Suri, Moustafa Meshry, Larry S. Davis, Abhinav Shrivastava |
| 2023 | BMVC | Unifying the Harmonic Analysis of Adversarial Attacks and Robustness. | Shishira R. Maiya, Max Ehrlich, Vatsal Agarwal, Ser-Nam Lim, Tom Goldstein, Abhinav Shrivastava |
| 2023 | CVPR | FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views. | Vinoj Jayasundara, Amit Agrawal, Nicolas Heron, Abhinav Shrivastava, Larry S. Davis |
| 2023 | CVPR | Align and Attend: Multimodal Summarization with Dual Contrastive Losses. | Bo He, Jun Wang, Jielin Qiu, Trung Bui, Abhinav Shrivastava, Zhaowen Wang |
| 2023 | CVPR | 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 |
| 2023 | CVPR | HNeRV: A Hybrid Neural Representation for Videos. | Hao Chen, Matthew Gwilliam, Ser-Nam Lim, Abhinav Shrivastava |
| 2023 | CVPR | 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 |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Teaching Matters: Investigating the Role of Supervision in Vision Transformers. | Matthew Walmer, Saksham Suri, Kamal Gupta, Abhinav Shrivastava |
| 2023 | EACL | COVID-VTS: Fact Extraction and Verification on Short Video Platforms. | Fuxiao Liu, Yaser Yacoob, Abhinav Shrivastava |
| 2023 | ICCV | ASIC: Aligning Sparse in-the-wild Image Collections. | Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar |
| 2023 | ICCV | SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations. | Sharath Girish, Abhinav Shrivastava, Kamal Gupta |
| 2023 | ICCV | MOST: Multiple Object localization with Self-supervised Transformers for object discovery. | Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava |
| 2023 | ICCV | Chop & Learn: Recognizing and Generating Object-State Compositions. | Nirat Saini, Hanyu Wang, Archana Swaminathan, Vinoj Jayasundara, Bo He, Kamal Gupta, Abhinav Shrivastava |
| 2023 | ICCV | SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining. | Saksham Suri, Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava |
| 2023 | ICCV | BT | Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim |
| 2023 | ICLR | LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification. | Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava |
| 2022 | AAAI | Rethinking Pseudo Labels for Semi-supervised Object Detection. | Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis |
| 2022 | BMVC | CNeRV: Content-adaptive Neural Representation for Visual Data. | Hao Chen, Matthew Gwilliam, Bo He, Ser-Nam Lim, Abhinav Shrivastava |
| 2022 | BMVC | Learning visual representations for transfer learning by suppressing texture. | Shlok Kumar Mishra, Anshul Shah, Ankan Bansal, Janit Anjaria, Jonghyun Choi, Abhinav Shrivastava, Abhishek Sharma, David Jacobs |
| 2022 | CVPR | Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning. | Matthew Gwilliam, Abhinav Shrivastava |
| 2022 | CVPR | ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization. | Bo He, Xitong Yang, Le Kang, Zhiyu Cheng, Xin Zhou, Abhinav Shrivastava |
| 2022 | CVPR | Disentangling Visual Embeddings for Attributes and Objects. | Nirat Saini, Khoi Pham, Abhinav Shrivastava |
| 2022 | CVPR | Dual-Key Multimodal Backdoors for Visual Question Answering. | Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha |
| 2022 | CVPR | ObjectFormer for Image Manipulation Detection and Localization. | Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang |
| 2022 | ECCV | Learning Semantic Correspondence with Sparse Annotations. | Shuaiyi Huang, Luyu Yang, Bo He, Songyang Zhang, Xuming He, Abhinav Shrivastava |
| 2022 | ECCV | Improving Closed and Open-Vocabulary Attribute Prediction Using Transformers. | Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava |
| 2022 | ECCV | Neural Space-Filling Curves. | Hanyu Wang, Kamal Gupta, Larry Davis, Abhinav Shrivastava |
| 2022 | ECCV | Burn After Reading: Online Adaptation for Cross-domain Streaming Data. | Luyu Yang, Mingfei Gao, Zeyuan Chen, Ran Xu, Abhinav Shrivastava, Chetan Ramaiah |
| 2022 | WACV | Pose and Joint-Aware Action Recognition. | Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava |
| 2021 | AAAI | 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 |
| 2021 | BMVC | Deep Video Inpainting Detection. | Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim |
| 2021 | BMVC | HR-RCNN: Hierarchical Relational Reasoning for Object Detection. | Hao Chen, Abhinav Shrivastava |
| 2021 | BMVC | GTA: Global Temporal Attention for Video Action Understanding. | Bo He, Xitong Yang, Zuxuan Wu, Hao Chen, Ser-Nam Lim, Abhinav Shrivastava |
| 2021 | CVPR | Knowledge Evolution in Neural Networks. | Ahmed Taha, Abhinav Shrivastava, Larry S. Davis |
| 2021 | CVPR | Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions. | Navaneeth Bodla, Gaurav Shrivastava, Rama Chellappa, Abhinav Shrivastava |
| 2021 | CVPR | Learning Graphs for Knowledge Transfer With Limited Labels. | Pallabi Ghosh, Nirat Saini, Larry S. Davis, Abhinav Shrivastava |
| 2021 | CVPR | The Lottery Ticket Hypothesis for Object Recognition. | Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry S. Davis, Abhinav Shrivastava |
| 2021 | CVPR | 2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. | Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis |
| 2021 | CVPR | StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis. | Moustafa Meshry, Yixuan Ren, Larry S. Davis, Abhinav Shrivastava |
| 2021 | CVPR | Learning To Predict Visual Attributes in the Wild. | Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava |
| 2021 | ICCV | Towards Discovery and Attribution of Open-world GAN Generated Images. | Sharath Girish, Saksham Suri, Sai Saketh Rambhatla, Abhinav Shrivastava |
| 2021 | ICCV | LayoutTransformer: Layout Generation and Completion with Self-attention. | Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava |
| 2021 | ICCV | Learned Spatial Representations for Few-shot Talking-Head Synthesis. | Moustafa Meshry, Saksham Suri, Larry S. Davis, Abhinav Shrivastava |
| 2021 | ICCV | The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. | Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava |
| 2021 | ICCV | 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 |
| 2021 | ICLR | Diverse Video Generation using a Gaussian Process Trigger. | Gaurav Shrivastava, Abhinav Shrivastava |
| 2021 | ICRA | No-frills Dynamic Planning using Static Planners. | Mara Levy, Vasista Ayyagari, Abhinav Shrivastava |
| 2020 | AAAI | Detecting Human-Object Interactions via Functional Generalization. | Ankan Bansal, Sai Saketh Rambhatla, Abhinav Shrivastava, Rama Chellappa |
| 2020 | AAAI | Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. | Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis |
| 2020 | CVPR | PatchVAE: Learning Local Latent Codes for Recognition. | Kamal Gupta, Saurabh Singh, Abhinav Shrivastava |
| 2020 | ECCV | Quantization Guided JPEG Artifact Correction. | Max Ehrlich, Larry Davis, Ser-Nam Lim, Abhinav Shrivastava |
| 2020 | ECCV | A Generic Visualization Approach for Convolutional Neural Networks. | Ahmed Taha, Xitong Yang, Abhinav Shrivastava, Larry Davis |
| 2020 | ECCV | Curriculum Manager for Source Selection in Multi-source Domain Adaptation. | Luyu Yang, Yogesh Balaji, Ser-Nam Lim, Abhinav Shrivastava |
| 2020 | ICIP | End-to-End Learning of Compressible Features. | Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ball, Abhinav Shrivastava, George Toderici |
| 2020 | ICLR | Scalable Model Compression by Entropy Penalized Reparameterization. | Deniz Oktay, Johannes Ball, Saurabh Singh, Abhinav Shrivastava |
| 2020 | WACV | Hand-Priming in Object Localization for Assistive Egocentric Vision. | Kyungjun Lee, Abhinav Shrivastava, Hernisa Kacorri |
| 2020 | WACV | Boosting Standard Classification Architectures Through a Ranking Regularizer. | Ahmed Taha, Yi-Ting Chen, Teruhisa Misu, Abhinav Shrivastava, Larry Davis |
| 2019 | CVPR | Relational Action Forecasting. | Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid |
| 2019 | ICCV | EvalNorm: Estimating Batch Normalization Statistics for Evaluation. | Saurabh Singh, Abhinav Shrivastava |
| 2018 | ECCV | Actor-Centric Relation Network. | Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid |
| 2018 | ECCV | Tracking Emerges by Colorizing Videos. | Carl Vondrick, Abhinav Shrivastava, Alireza Fathi, Sergio Guadarrama, Kevin Murphy |
| 2017 | CVPR | A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection. | Xiaolong Wang, Abhinav Shrivastava, Abhinav Gupta |
| 2017 | ICCV | Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. | Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta |
| 2016 | CVPR | Cross-Stitch Networks for Multi-task Learning. | Ishan Misra, Abhinav Shrivastava, Abhinav Gupta, Martial Hebert |
| 2016 | CVPR | Training Region-Based Object Detectors with Online Hard Example Mining. | Abhinav Shrivastava, Abhinav Gupta, Ross B. Girshick |
| 2016 | ECCV | Contextual Priming and Feedback for Faster R-CNN. | Abhinav Shrivastava, Abhinav Gupta |
| 2015 | CVPR | Watch and learn: Semi-supervised learning of object detectors from videos. | Ishan Misra, Abhinav Shrivastava, Martial Hebert |
| 2014 | CVPR | Enriching Visual Knowledge Bases via Object Discovery and Segmentation. | Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta |
| 2014 | WACV | Data-driven exemplar model selection. | Ishan Misra, Abhinav Shrivastava, Martial Hebert |
| 2013 | ICCV | NEIL: Extracting Visual Knowledge from Web Data. | Xinlei Chen, Abhinav Shrivastava, Abhinav Gupta |
| 2013 | ICCV | Building Part-Based Object Detectors via 3D Geometry. | Abhinav Shrivastava, Abhinav Gupta |
| 2012 | ECCV | Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes. | Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta |
| 2012 | ICML | Exemplar-SVMs for Visual Ob ject Detection, Label Transfer and Image Retrieval. | Tomasz Malisiewicz, Abhinav Shrivastava, Abhinav Gupta, Alexei A. Efros |