Vignesh Ramanathan

According to our database, Vignesh Ramanathan authored at least 36 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EventMASK: A Frame-Free Rapid Human Instance Segmentation With Event Camera Through Constrained Mask Propagation.

Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur

IEEE Robotics Autom. Lett., 2024

2023

Context Diffusion: In-Context Aware Image Generation.

Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic

CoRR, 2023

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack.

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

CoRR, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

PartDistillation: Learning Parts from Instance Segmentation.

Jang Hyun Cho, Philipp Krähenbühl, Vignesh Ramanathan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

A Sparsity-driven tinyML Accelerator for Decoding Hand Kinematics in Brain-Computer Interfaces.

Adithya Krishna, Vignesh Ramanathan, Satyapreet Singh Yadav, Sahil Shah, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

2022

Event-LSTM: An Unsupervised and Asynchronous Learning-Based Representation for Event-Based Data.

Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur

IEEE Robotics Autom. Lett., 2022

2021

PreDet: Large-scale weakly supervised pre-training for detection.

Vignesh Ramanathan, Rui Wang, Dhruv Mahajan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adaptive Methods for Real-World Domain Generalization.

Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency.

Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

What Leads to Generalization of Object Proposals?

Rui Wang, Dhruv Mahajan, Vignesh Ramanathan

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data.

Vignesh Ramanathan, Rui Wang, Dhruv Mahajan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Activity Driven Weakly Supervised Object Detection.

Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Exploring 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

Proceedings of the Computer Vision - ECCV 2018, 2018

What 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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Learning to Learn from Noisy Web Videos.

Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Learning to Predict Human Behavior in Crowded Scenes.

Alexandre Alahi, Vignesh Ramanathan, Kratarth Goel, Alexandre Robicquet, Amir A. Sadeghian, Li Fei-Fei, Silvio Savarese

Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

Tracking Millions of Humans in Crowded Spaces.

Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei

Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

2016

Detecting Events and Key Actors in Multi-person Videos.

Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Social LSTM: Human Trajectory Prediction in Crowded Spaces.

Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, Silvio Savarese

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Learning Temporal Embeddings for Complex Video Analysis.

Vignesh Ramanathan, Kevin D. Tang, Greg Mori, Li Fei-Fei

Proceedings of the 2015 IEEE International Conference on Computer Vision, 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, Chuck Rosenberg, Li Fei-Fei

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Pixel rearrangement based statistical restoration scheme reducing embedding noise.

Arijit Sur, Vignesh Ramanathan, Jayanta Mukherjee

Multim. Tools Appl., 2014

Linking People in Videos with "Their" Names Using Coreference Resolution.

Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei

Proceedings of the Computer Vision - ECCV 2014, 2014

Socially-Aware Large-Scale Crowd Forecasting.

Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Social Role Recognition for Human Event Understanding.

Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei

Proceedings of the Human-Centered Social Media Analytics, 2014

2013

TRECVID 2013 GENIE: Multimedia Event Detection and Recounting.

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

Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

Video Event Understanding Using Natural Language Descriptions.

Vignesh Ramanathan, Percy Liang, Li Fei-Fei

Proceedings of the IEEE International Conference on Computer Vision, 2013

Social Role Discovery in Human Events.

Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Secure Steganography Using Randomized Cropping.

Arijit Sur, Vignesh Ramanathan, Jayanta Mukherjee

Trans. Data Hiding Multim. Secur., 2012

Shifting Weights: Adapting Object Detectors from Image to Video.

Kevin D. Tang, Vignesh Ramanathan, Li Fei-Fei, Daphne Koller

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Quadtree decomposition based extended vector space model for image retrieval.

Vignesh Ramanathan, Shaunak Mishra, Pabitra Mitra

Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV 2011), 2011

Active Object Categorization on a Humanoid Robot.

Vignesh Ramanathan, Axel Pinz

Proceedings of the VISAPP 2011, 2011

2010

Fast Non-Local Means (NLM) Computation With Probabilistic Early Termination.

Vignesh Ramanathan, Byung Tae Oh, C.-C. Jay Kuo

IEEE Signal Process. Lett., 2010