Ramanathan, Vignesh

20 publications

ECCV 2024 Context Diffusion: In-Context Aware Image Generation Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic

CVPR 2023 Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan

CVPR 2023 PACO: Parts and Attributes of Common Objects Vignesh Ramanathan, Anmol Kalia, Vladan Petrovic, Yi Wen, Baixue Zheng, Baishan Guo, Rui Wang, Aaron Marquez, Rama Kovvuri, Abhishek Kadian, Amir Mousavi, Yiwen Song, Abhimanyu Dubey, Dhruv Mahajan

CVPR 2023 PartDistillation: Learning Parts from Instance Segmentation Jang Hyun Cho, Philipp Krähenbühl, Vignesh Ramanathan

CVPR 2021 Adaptive Methods for Real-World Domain Generalization Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan

ICCV 2021 PreDet: Large-Scale Weakly Supervised Pre-Training for Detection Vignesh Ramanathan, Rui Wang, Dhruv Mahajan

CVPR 2021 Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan Yuille, Zhenheng Yang

WACV 2020 QUICKSAL: A Small and Sparse Visual Saliency Model for Efficient Inference in Resource Constrained Hardware Vignesh Ramanathan, Pritesh Dwivedi, Bharath Katabathuni, Anirban Chakraborty, Chetan Singh Thakur

ECCVW 2020 What Leads to Generalization of Object Proposals? Rui Wang, Dhruv Mahajan, Vignesh Ramanathan

ECCV 2018 Exploring the Limits of Weakly Supervised Pretraining Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

CVPR 2017 Learning to Learn from Noisy Web Videos Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei

CVPR 2016 Detecting Events and Key Actors in Multi-Person Videos Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei

CVPR 2016 Social LSTM: Human Trajectory Prediction in Crowded Spaces Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, Silvio Savarese

CVPR 2015 Learning Semantic Relationships for Better Action Retrieval in Images Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Charles Rosenberg, Li Fei-Fei

ICCV 2015 Learning Temporal Embeddings for Complex Video Analysis Vignesh Ramanathan, Kevin Tang, Greg Mori, Li Fei-Fei

ECCV 2014 Linking People in Videos with "Their" Names Using Coreference Resolution Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei

CVPR 2014 Socially-Aware Large-Scale Crowd Forecasting Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei

CVPR 2013 Social Role Discovery in Human Events Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei

ICCV 2013 Video Event Understanding Using Natural Language Descriptions Vignesh Ramanathan, Percy Liang, Li Fei-Fei

NeurIPS 2012 Shifting Weights: Adapting Object Detectors from Image to Video Kevin Tang, Vignesh Ramanathan, Li Fei-fei, Daphne Koller