Fast Non-Local Means (NLM) Computation With Probabilistic Early Termination. - Vignesh Ramanathan; Byung Tae Oh; C.-C. Jay Kuo (IEEE Signal Process. Lett., 2010)

Active Object Categorization on a Humanoid Robot. - Vignesh Ramanathan; Axel Pinz (VISAPP, 2011)

Quadtree decomposition based extended vector space model for image retrieval. - Vignesh Ramanathan; Shaunak Mishra; Pabitra Mitra (WACV, 2011)

Shifting Weights: Adapting Object Detectors from Image to Video. - Kevin D. Tang; Vignesh Ramanathan; Li Fei-Fei 001; Daphne Koller (NIPS, 2012)

Secure Steganography Using Randomized Cropping. - Arijit Sur; Vignesh Ramanathan; Jayanta Mukherjee 001 (Trans. Data Hiding Multim. Secur., 2012)

Social Role Discovery in Human Events. - Vignesh Ramanathan; Bangpeng Yao; Li Fei-Fei 001 (CVPR, 2013)

Video Event Understanding Using Natural Language Descriptions. - Vignesh Ramanathan; Percy Liang; Li Fei-Fei 001 (ICCV, 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 001; et al. (TRECVID, 2013)

Social Role Recognition for Human Event Understanding. - Vignesh Ramanathan; Bangpeng Yao; Li Fei-Fei 001 (Human-Centered Social Media Analytics, 2014)

Socially-Aware Large-Scale Crowd Forecasting. - Alexandre Alahi; Vignesh Ramanathan; Li Fei-Fei 001 (CVPR, 2014)

Linking People in Videos with "Their" Names Using Coreference Resolution. - Vignesh Ramanathan; Armand Joulin; Percy Liang; Li Fei-Fei 001 (ECCV (1), 2014)

Pixel rearrangement based statistical restoration scheme reducing embedding noise. - Arijit Sur; Vignesh Ramanathan; Jayanta Mukherjee 001 (Multim. Tools Appl., 2014)

Learning semantic relationships for better action retrieval in images. - Vignesh Ramanathan; Congcong Li; Jia Deng 001; Wei Han; Zhen Li 028; Kunlong Gu; Yang Song 009; Samy Bengio; Chuck Rosenberg 001; Li Fei-Fei 001 (CVPR, 2015)

Learning Temporal Embeddings for Complex Video Analysis. - Vignesh Ramanathan; Kevin D. Tang; Greg Mori; Li Fei-Fei 001 (ICCV, 2015)

Social LSTM: Human Trajectory Prediction in Crowded Spaces. - Alexandre Alahi; Kratarth Goel; Vignesh Ramanathan; Alexandre Robicquet; Li Fei-Fei 001; Silvio Savarese (CVPR, 2016)

Detecting Events and Key Actors in Multi-person Videos. - Vignesh Ramanathan; Jonathan Huang; Sami Abu-El-Haija; Alexander N. Gorban; Kevin Murphy 002; Li Fei-Fei 001 (CVPR, 2016)

Tracking Millions of Humans in Crowded Spaces. - Alexandre Alahi; Vignesh Ramanathan; Li Fei-Fei 001 (Group and Crowd Behavior for Computer Vision, 2017)

Learning to Predict Human Behavior in Crowded Scenes. - Alexandre Alahi; Vignesh Ramanathan; Kratarth Goel; Alexandre Robicquet; Amir A. Sadeghian; Li Fei-Fei 001; Silvio Savarese (Group and Crowd Behavior for Computer Vision, 2017)

Learning to Learn from Noisy Web Videos. - Serena Yeung; Vignesh Ramanathan; Olga Russakovsky; Liyue Shen; Greg Mori; Li Fei-Fei 001 (CVPR, 2017)

What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. - De-An Huang; Vignesh Ramanathan; Dhruv Mahajan 001; Lorenzo Torresani; Manohar Paluri; Li Fei-Fei 001; Juan Carlos Niebles (CVPR, 2018)

Exploring the Limits of Weakly Supervised Pretraining. - Dhruv Mahajan 001; Ross B. Girshick; Vignesh Ramanathan; Kaiming He; Manohar Paluri; Yixuan Li 001; Ashwin Bharambe; Laurens van der Maaten (ECCV (2), 2018)

Activity Driven Weakly Supervised Object Detection. - Zhenheng Yang; Dhruv Mahajan 001; Deepti Ghadiyaram; Ram Nevatia; Vignesh Ramanathan (CVPR, 2019)

DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data. - Vignesh Ramanathan; Rui Wang 067; Dhruv Mahajan 001 (CVPR, 2020)

What Leads to Generalization of Object Proposals? - Rui Wang 067; Dhruv Mahajan 001; Vignesh Ramanathan (ECCV Workshops (2), 2020)

QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware. - Vignesh Ramanathan; Pritesh Dwivedi; Bharath Katabathuni; Anirban Chakraborty 001; Chetan Singh Thakur (WACV, 2020)

Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency. - Qing Liu 017; Vignesh Ramanathan; Dhruv Mahajan 001; Alan L. Yuille; Zhenheng Yang (CVPR, 2021)

Adaptive Methods for Real-World Domain Generalization. - Abhimanyu Dubey; Vignesh Ramanathan; Alex Pentland; Dhruv Mahajan 001 (CVPR, 2021)

PreDet: Large-scale weakly supervised pre-training for detection. - Vignesh Ramanathan; Rui Wang 067; Dhruv Mahajan 001 (ICCV, 2021)

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)

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 (BioCAS, 2023)

PartDistillation: Learning Parts from Instance Segmentation. - Jang Hyun Cho; Philipp Krähenbühl; Vignesh Ramanathan (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 006; Vignesh Ramanathan; Dhruv Mahajan 001 (CVPR, 2023)

PACO: Parts and Attributes of Common Objects. - Vignesh Ramanathan; Anmol Kalia; Vladan Petrovic; Yi Wen 006; Baixue Zheng; Baishan Guo; Rui Wang 067; Aaron Marquez; Rama Kovvuri; Abhishek Kadian; Amir Mousavi; Yiwen Song; et al. (CVPR, 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 067; Peizhao Zhang; Simon Vandenhende; Xiaofang Wang; Abhimanyu Dubey; Matthew Yu; Abhishek Kadian; et al. (CoRR, 2023)

Context Diffusion: In-Context Aware Image Generation. - Ivona Najdenkoska; Animesh Sinha; Abhimanyu Dubey; Dhruv Mahajan 001; Vignesh Ramanathan; Filip Radenovic (ECCV (77), 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)