Raviteja Vemulapalli

64 papers A* 16Misc 1Journal 39Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ASTRA-bench: Evaluating Tool-Use Agent Reasoning and Action Planning with Personal User Context. CoRR Zidi Xiu, David Q. Sun, Kevin Cheng, Maitrik Patel, Josh Date, Yizhe Zhang, Jiarui Lu, Omar Attia, Raviteja Vemulapalli, Oncel Tuzel, Meng Cao, Samy Bengio
2025	J	`jnl`	AMUSE: Audio-Visual Benchmark and Alignment Framework for Agentic Multi-Speaker Understanding. CoRR Sanjoy Chowdhury, Karren D. Yang, Xudong Liu, Fartash Faghri, Pavan Kumar Anasosalu Vasu, Oncel Tuzel, Dinesh Manocha, Chun-Liang Li, Raviteja Vemulapalli
2025	J	`jnl`	COMPASS: A Multi-Turn Benchmark for Tool-Mediated Planning & Preference Optimization. CoRR Tian Qin, Felix Bai, Ting-Yao Hu, Raviteja Vemulapalli, Hema Swetha Koppula, Zhiyang Xu, Bowen Jin, Mert Cemri, Jiarui Lu, Zirui Wang, Meng Cao
2025	J	`jnl`	FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations. CoRR Cheng-Yu Hsieh, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Chun-Liang Li, Ranjay Krishna, Oncel Tuzel, Hadi Pouransari
2025	J	`jnl`	LangDA: Building Context-Awareness via Language for Domain Adaptive Semantic Segmentation. CoRR Chang Liu, Bavesh Balaji, Saad Hossain, C. Thomas, Kwei-Herng Lai, Raviteja Vemulapalli, Alexander Wong, Sirisha Rambhatla
2025	J	`jnl`	Learning from Self Critique and Refinement for Faithful LLM Summarization. CoRR Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Cem Koc, Oncel Tuzel, Raviteja Vemulapalli
2025	J	`jnl`	Learning to Reason for Hallucination Span Detection. CoRR Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Kundan Krishna, Hadi Pouransari, Cheng-Yu Hsieh, Cem Koc, Joseph Yitan Cheng, Oncel Tuzel, Raviteja Vemulapalli
2025	—	`conf`	Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization. NAACL (Findings) Yen-Ju Lu, Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Jen-Hao Rick Chang, Yin Xia, Xiang Kong, Qi Zhu, Simon Wang, Oncel Tuzel, Raviteja Vemulapalli
2025	J	`jnl`	Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization. CoRR Yen-Ju Lu, Ting-Yao Hu, Hema Swetha Koppula, Hadi Pouransari, Jen-Hao Rick Chang, Yin Xia, Xiang Kong, Qi Zhu, Simon Wang, Oncel Tuzel, Raviteja Vemulapalli
2025	A*	`conf`	Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting. ICML Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind
2025	J	`jnl`	Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting. CoRR Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind
2025	J	`jnl`	Segment Anything in Context with Vision Foundation Models. Int. J. Comput. Vis. Yang Liu, Muzhi Zhu, Hao Chen, Xinlong Wang, Bo Feng, Hao Wang, Shiyu Li, Raviteja Vemulapalli, Chunhua Shen
2025	J	`jnl`	Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation Using Bi-Level Optimization. IEEE Trans Autom. Sci. Eng. Shancong Mou, Raviteja Vemulapalli, Shiyu Li, Yuxuan Liu, C. Thomas, Meng Cao, Haoping Bai, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi
2025	—	`conf`	TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. ACL (1) Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri
2025	J	`jnl`	TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. CoRR Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri
2024	J	`jnl`	CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. Trans. Mach. Learn. Res. Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
2024	Misc	`conf`	Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models. ICASSP Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel
2024	A*	`conf`	Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models. ICML Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
2024	—	`conf`	MUSCLE: A Model Update Strategy for Compatible LLM Evolution. EMNLP (Findings) Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari
2024	J	`jnl`	MUSCLE: A Model Update Strategy for Compatible LLM Evolution. CoRR Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari
2024	A*	`conf`	MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training. CVPR Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel
2024	A*	`conf`	Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications. CVPR Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel
2024	—	`conf`	SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CVPR Workshops Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
2024	J	`jnl`	Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation using Bi-level Optimization. CoRR Shancong Mou, Raviteja Vemulapalli, Shiyu Li, Yuxuan Liu, C. Thomas, Meng Cao, Haoping Bai, Oncel Tuzel, Ping Huang, Jiulong Shan, Jianjun Shi
2024	A*	`conf`	TiC-CLIP: Continual Training of CLIP Models. ICLR Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
2023	J	`jnl`	CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. CoRR Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
2023	J	`jnl`	Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models. CoRR Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel
2023	J	`jnl`	Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models. CoRR Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
2023	J	`jnl`	MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training. CoRR Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel
2023	J	`jnl`	Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications. CoRR Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel
2023	J	`jnl`	SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CoRR Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
2023	J	`jnl`	TiC-CLIP: Continual Training of CLIP Models. CoRR Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
2023	J	`jnl`	Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout. CoRR Pengfei Guo, Warren Richard Morningstar, Raviteja Vemulapalli, Karan Singhal, Vishal M. Patel, Philip Andrew Mansfield
2023	J	`jnl`	Weight subcloning: direct initialization of transformers using larger pretrained ones. CoRR Mohammad Samragh, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Fartash Faghri, Devang Naik, Oncel Tuzel, Mohammad Rastegari
2022	J	`jnl`	Federated Training of Dual Encoding Models on Small Non-IID Client Datasets. CoRR Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green
2021	J	`jnl`	Balancing Constraints and Submodularity in Data Subset Selection. CoRR Srikumar Ramalingam, Daniel Glasner, Kaushal Patel, Raviteja Vemulapalli, Sadeep Jayasumana, Sanjiv Kumar
2021	A*	`conf`	Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze. AAAI Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green
2021	J	`jnl`	Camera View Adjustment Prediction for Improving Image Composition. CoRR Yu-Chuan Su, Raviteja Vemulapalli, Ben Weiss, Chun-Te Chu, Philip Andrew Mansfield, Lior Shapira, Colvin Pitts
2021	A*	`conf`	Contrastive Learning for Label Efficient Semantic Segmentation. ICCV Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu
2020	J	`jnl`	Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze. CoRR Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green
2020	J	`jnl`	Contrastive Learning for Label-Efficient Semantic Segmentation. CoRR Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu
2020	J	`jnl`	Global Self-Attention Networks for Image Recognition. CoRR Zhuoran Shen, Irwan Bello, Raviteja Vemulapalli, Xuhui Jia, Ching-Hui Chen
2020	A*	`conf`	Search to Distill: Pearls Are Everywhere but Not the Eyes. CVPR Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang
2019	A*	`conf`	A Compact Embedding for Facial Expression Similarity. CVPR Raviteja Vemulapalli, Aseem Agarwala
2019	J	`jnl`	Search to Distill: Pearls are Everywhere but not the Eyes. CoRR Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang
2018	J	`jnl`	A Compact Embedding for Facial Expression Similarity. CoRR Raviteja Vemulapalli, Aseem Agarwala
2018	A*	`conf`	Frame-Recurrent Video Super-Resolution. CVPR Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown
2018	J	`jnl`	Frame-Recurrent Video Super-Resolution. CoRR Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown
2017	—	`ch.`	Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis. Deep Learning for Medical Image Analysis Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou
2017	J	`jnl`	Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation. CoRR Kota Hara, Raviteja Vemulapalli, Rama Chellappa
2016	A*	`conf`	Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising. CVPR Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu
2016	J	`jnl`	Explicit discriminative representation for improved classification of manifold features. Pattern Recognit. Lett. Arnold Wiliem, Raviteja Vemulapalli, Brian C. Lovell
2016	A*	`conf`	Gaussian Conditional Random Field Network for Semantic Segmentation. CVPR Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu, Rama Chellappa
2016	—	`—`	Geometric Representations and Deep Gaussian Conditional Random field Networks for Computer Vision. Raviteja Vemulapalli
2016	J	`jnl`	R3DG features: Relative 3D geometry-based skeletal representations for human action recognition. Comput. Vis. Image Underst. Raviteja Vemulapalli, Felipe Arrate, Rama Chellappa
2016	A*	`conf`	Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data. CVPR Raviteja Vemulapalli, Rama Chellappa
2015	—	`conf`	Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network. MICCAI (1) Hien Van Nguyen, Shaohua Kevin Zhou, Raviteja Vemulapalli
2015	J	`jnl`	Deep Gaussian Conditional Random Field Network: A Model-based Deep Network for Discriminative Denoising. CoRR Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu
2015	J	`jnl`	Riemannian Metric Learning for Symmetric Positive Definite Matrices. CoRR Raviteja Vemulapalli, David W. Jacobs
2015	A*	`conf`	Unsupervised Cross-Modal Synthesis of Subject-Specific Scans. ICCV Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou
2014	A*	`conf`	Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group. CVPR Raviteja Vemulapalli, Felipe Arrate, Rama Chellappa
2014	J	`jnl`	MKL-RT: Multiple Kernel Learning for Ratio-trace Problems via Convex Optimization. CoRR Raviteja Vemulapalli, Vinay Praneeth Boda, Rama Chellappa
2013	A*	`conf`	Kernel Learning for Extrinsic Classification of Manifold Features. CVPR Raviteja Vemulapalli, Jaishanker K. Pillai, Rama Chellappa
2009	—	`conf`	Spatio-temporal nonparametric background modeling and subtraction. ICCV Workshops Raviteja Vemulapalli, R. Aravind