Rohun Tripathi

According to our database, Rohun Tripathi authored at least 17 papers between 2017 and 2026.

Collaborative distances:

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

2026

VideoNet: A Large-Scale Dataset for Domain-Specific Action Recognition.

Tanush Yadav, Mohammadreza Salehi, Jae Sung Park, Vivek Ramanujan, Hannaneh Hajishirzi, Yejin Choi, Ali Farhadi, Rohun Tripathi, Ranjay Krishna

CoRR, May, 2026

MolmoPoint: Better Pointing for VLMs with Grounding Tokens.

Christopher Clark, Yue Yang, Jae Sung Park, Zixian Ma, Jieyu Zhang, Rohun Tripathi, Mohammadreza Salehi, Sangho Lee, Taira Anderson, Winson Han, Ranjay Krishna

CoRR, March, 2026

Unified Spatio-Temporal Token Scoring for Efficient Video VLMs.

Jianrui Zhang, Yue Yang, Rohun Tripathi, Winson Han, Ranjay Krishna, Christopher Clark, Yong Jae Lee, Sangho Lee

CoRR, March, 2026

MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation.

Abhay Deshpande, Maya Guru, Rose Hendrix, Snehal Jauhri, Ainaz Eftekhar, Rohun Tripathi, Max Argus, Jordi Salvador, Haoquan Fang, Matthew Wallingford, Wilbert Pumacay, Yejin Kim, Quinn Pfeifer, Ying-Chun Lee, Piper Wolters, Omar Rayyan, Mingtong Zhang, Jiafei Duan, Karen Farley, Winson Han, Eli VanderBilt, Dieter Fox, Ali Farhadi, Georgia Chalvatzaki, Dhruv Shah, Ranjay Krishna

CoRR, March, 2026

Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding.

Christopher Clark, Jieyu Zhang, Zixian Ma, Jae Sung Park, Mohammadreza Salehi, Rohun Tripathi, Sangho Lee, Zhongzheng Ren, Chris Dongjoo Kim, Yinuo Yang, Vincent Shao, Yue Yang, Weikai Huang, Ziqi Gao, Taira Anderson, Jianrui Zhang, Jitesh Jain, George Stoica, Winson Han, Ali Farhadi, Ranjay Krishna

CoRR, January, 2026

2025

SAGE: Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning.

Jitesh Jain, Jialuo Li, Zixian Ma, Jieyu Zhang, Chris Dongjoo Kim, Sangho Lee, Rohun Tripathi, Tanmay Gupta, Christopher Clark, Humphrey Shi

CoRR, December, 2025

HinTel-AlignBench: A Framework and Benchmark for Hindi-Telugu with English-Aligned Samples.

Rishikant Chigrupaatii, Ponnada Sai Tulasi Kanishka, Lalit Chandra Routhu, Martin Patel Sama Supratheek Reddy, Divyam Gupta, Dasari Srikar, Krishna Teja Kuchimanchi, Rajiv Misra, Rohun Tripathi

CoRR, November, 2025

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models.

Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi

CoRR, 2024

2023

SIDGAN: High-Resolution Dubbed Video Generation via Shift-Invariant Learning.

Urwa Muaz, Wondong Jang, Rohun Tripathi, Santhosh Mani, Wenbin Ouyang, Ravi Teja Gadde, Baris Gecer, Sergio Elizondo, Reza Madad, Naveen Nair

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MODEFORMER: Modality-Preserving Embedding For Audio-Video Synchronization Using Transformers.

Akash Gupta, Rohun Tripathi, Wondong Jang

Proceedings of the IEEE International Conference on Acoustics, 2023

2020

ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors.

Rohun Tripathi, Vasu Singla, Mahyar Najibi, Bharat Singh, Abhishek Sharma, Larry Davis

CoRR, 2020

RSO: A Gradient Free Sampling Based Approach For Training Deep Neural Networks.

Rohun Tripathi, Bharat Singh

CoRR, 2020

2019

Automatic Generation and Evaluation of Usable and Secure Audio reCAPTCHA.

Mohit Jain, Rohun Tripathi, Ishita Bhansali, Pratyush Kumar

Proceedings of the 21st International ACM SIGACCESS Conference on Computers and Accessibility, 2019

2018

Semantic Segmentation with Scarce Data.

Isay Katsman, Rohun Tripathi, Andreas Veit, Serge J. Belongie

CoRR, 2018

Enterprise Scale Privacy Aware Occupancy Sensing.

Surya Shravan Kumar Sajja, Ashok Pon Kumar, Rohun Tripathi, Satyam Dwivedi, Amith Singhee, Marnik Vermeulen

Proceedings of the 2018 IEEE International Conference on Edge Computing, 2018

2017

Recurrent neural networks based Indic word-wise script identification using character-wise training.

Rohun Tripathi, Riccha Tripati

CoRR, 2017