Vignesh Ramanathan

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 33

Top Topics

Weakly Supervised

Top Venues

IEEE Robotics Autom. Lett.

Publications

Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur
EventMASK: A Frame-Free Rapid Human Instance Segmentation With Event Camera Through Constrained Mask Propagation. IEEE Robotics Autom. Lett. 9 (4) (2024)
Jang Hyun Cho, Philipp Krähenbühl, Vignesh Ramanathan
PartDistillation: Learning Parts from Instance Segmentation. CVPR (2023)
Adithya Krishna, Vignesh Ramanathan, Satyapreet Singh Yadav, Sahil Shah, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur
A Sparsity-driven tinyML Accelerator for Decoding Hand Kinematics in Brain-Computer Interfaces. BioCAS (2023)
Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CoRR (2023)
Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic
Context Diffusion: In-Context Aware Image Generation. CoRR (2023)
Xiaoliang Dai, Ji Hou, Chih-Yao Ma, Sam S. Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. CoRR (2023)
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
PACO: Parts and Attributes of Common Objects. CoRR (2023)
Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CVPR (2023)
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
PACO: Parts and Attributes of Common Objects. CVPR (2023)
Annamalai Lakshmi, Vignesh Ramanathan, Chetan Singh Thakur
Event-LSTM: An Unsupervised and Asynchronous Learning-Based Representation for Event-Based Data. IEEE Robotics Autom. Lett. 7 (2) (2022)
Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan
Adaptive Methods for Real-World Domain Generalization. CoRR (2021)
Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang
Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency. CVPR (2021)
Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan
Adaptive Methods for Real-World Domain Generalization. CVPR (2021)
Annamalai Lakshmi, Vignesh Ramanathan, Chetan Singh Thakur
Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data. CoRR (2021)
Vignesh Ramanathan, Rui Wang, Dhruv Mahajan
PreDet: Large-scale weakly supervised pre-training for detection. ICCV (2021)
Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency. CoRR (2021)
Rui Wang, Dhruv Mahajan, Vignesh Ramanathan
What leads to generalization of object proposals? CoRR (2020)
Vignesh Ramanathan, Pritesh Dwivedi, Bharath Katabathuni, Anirban Chakraborty, Chetan Singh Thakur
QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware. WACV (2020)
Rui Wang, Dhruv Mahajan, Vignesh Ramanathan
What Leads to Generalization of Object Proposals? ECCV Workshops (2) (2020)
Vignesh Ramanathan, Rui Wang, Dhruv Mahajan
DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data. CVPR (2020)
Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan
Activity Driven Weakly Supervised Object Detection. CoRR (2019)
Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan
Activity Driven Weakly Supervised Object Detection. CVPR (2019)
De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. CVPR (2018)
Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten
Exploring the Limits of Weakly Supervised Pretraining. ECCV (2) (2018)
Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten
Exploring the Limits of Weakly Supervised Pretraining. CoRR (2018)
Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei
Learning to Learn from Noisy Web Videos. CoRR (2017)
Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei
Learning to Learn from Noisy Web Videos. CVPR (2017)
Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, Silvio Savarese
Social LSTM: Human Trajectory Prediction in Crowded Spaces. CVPR (2016)
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
Detecting Events and Key Actors in Multi-person Videos. CVPR (2016)
Vignesh Ramanathan, Kevin D. Tang, Greg Mori, Li Fei-Fei
Learning Temporal Embeddings for Complex Video Analysis. CoRR (2015)
Vignesh Ramanathan, Kevin D. Tang, Greg Mori, Li Fei-Fei
Learning Temporal Embeddings for Complex Video Analysis. ICCV (2015)
Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Chuck Rosenberg, Li Fei-Fei
Learning semantic relationships for better action retrieval in images. CVPR (2015)
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei
Detecting events and key actors in multi-person videos. CoRR (2015)
Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei
Linking People in Videos with "Their" Names Using Coreference Resolution. ECCV (1) (2014)
Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei
Socially-Aware Large-Scale Crowd Forecasting. CVPR (2014)
Arijit Sur, Vignesh Ramanathan, Jayanta Mukherjee
Pixel rearrangement based statistical restoration scheme reducing embedding noise. Multim. Tools Appl. 68 (3) (2014)
Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei
Social Role Discovery in Human Events. CVPR (2013)
Sangmin Oh, A. G. Amitha Perera, Ilseo Kim, Megha Pandey, Kevin J. Cannons, Hossein Hajimirsadeghi, Arash Vahdat, Greg Mori, Ben Miller, Scott McCloskey, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Chenliang Xu, Rohit Kumar, Wei Chen, Jason J. Corso, Li Fei-Fei, Daphne Koller, Vignesh Ramanathan, Kevin Tang, Armand Joulin, Alexandre Alahi
TRECVID 2013 GENIE: Multimedia Event Detection and Recounting. TRECVID (2013)
Vignesh Ramanathan, Percy Liang, Li Fei-Fei
Video Event Understanding Using Natural Language Descriptions. ICCV (2013)
Arijit Sur, Vignesh Ramanathan, Jayanta Mukherjee
Secure Steganography Using Randomized Cropping. Trans. Data Hiding Multim. Secur. 7 (2012)
Kevin D. Tang, Vignesh Ramanathan, Li Fei-Fei, Daphne Koller
Shifting Weights: Adapting Object Detectors from Image to Video. NIPS (2012)
Vignesh Ramanathan, Axel Pinz
Active Object Categorization on a Humanoid Robot. VISAPP (2011)
Vignesh Ramanathan, Shaunak Mishra, Pabitra Mitra
Quadtree decomposition based extended vector space model for image retrieval. WACV (2011)
Vignesh Ramanathan, Byung Tae Oh, C.-C. Jay Kuo
Fast Non-Local Means (NLM) Computation With Probabilistic Early Termination. IEEE Signal Process. Lett. 17 (3) (2010)