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Vignesh Ramanathan

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

23

Venues

4

Active years

2011–2024

Best venue rank

A*

Where they publish

Papers

23 indexed papers, newest first.

YearVenueTitleAuthors
2024ECCVContext Diffusion: In-Context Aware Image Generation.Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic
2023CVPRPartDistillation: Learning Parts from Instance Segmentation.Jang Hyun Cho, Philipp Krhenbhl, Vignesh Ramanathan
2023CVPRFiltering, 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
2023CVPRPACO: 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
2021CVPRWeakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency.Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang
2021CVPRAdaptive Methods for Real-World Domain Generalization.Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan
2021ICCVPreDet: Large-scale weakly supervised pre-training for detection.Vignesh Ramanathan, Rui Wang, Dhruv Mahajan
2020CVPRDLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data.Vignesh Ramanathan, Rui Wang, Dhruv Mahajan
2020ECCVWhat Leads to Generalization of Object Proposals?Rui Wang, Dhruv Mahajan, Vignesh Ramanathan
2020WACVQUICKSAL: 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
2019CVPRActivity Driven Weakly Supervised Object Detection.Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan
2018CVPRWhat Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets.De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles
2018ECCVExploring the Limits of Weakly Supervised Pretraining.Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten
2017CVPRLearning to Learn from Noisy Web Videos.Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei
2016CVPRSocial LSTM: Human Trajectory Prediction in Crowded Spaces.Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, Silvio Savarese
2016CVPRDetecting Events and Key Actors in Multi-person Videos.Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
2015CVPRLearning semantic relationships for better action retrieval in images.Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Chuck Rosenberg, Li Fei-Fei
2015ICCVLearning Temporal Embeddings for Complex Video Analysis.Vignesh Ramanathan, Kevin D. Tang, Greg Mori, Li Fei-Fei
2014CVPRSocially-Aware Large-Scale Crowd Forecasting.Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei
2014ECCVLinking People in Videos with "Their" Names Using Coreference Resolution.Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei
2013CVPRSocial Role Discovery in Human Events.Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei
2013ICCVVideo Event Understanding Using Natural Language Descriptions.Vignesh Ramanathan, Percy Liang, Li Fei-Fei
2011WACVQuadtree decomposition based extended vector space model for image retrieval.Vignesh Ramanathan, Shaunak Mishra, Pabitra Mitra