Spatio-temporal nonparametric background modeling and subtraction. - Raviteja Vemulapalli; R. Aravind 001 (ICCV Workshops, 2009)

Kernel Learning for Extrinsic Classification of Manifold Features. - Raviteja Vemulapalli; Jaishanker K. Pillai; Rama Chellappa (CVPR, 2013)

Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group. - Raviteja Vemulapalli; Felipe Arrate; Rama Chellappa (CVPR, 2014)

MKL-RT: Multiple Kernel Learning for Ratio-trace Problems via Convex Optimization. - Raviteja Vemulapalli; Vinay Praneeth Boda; Rama Chellappa (CoRR, 2014)

Unsupervised Cross-Modal Synthesis of Subject-Specific Scans. - Raviteja Vemulapalli; Hien Van Nguyen; Shaohua Kevin Zhou (ICCV, 2015)

Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network. - Hien Van Nguyen; Shaohua Kevin Zhou; Raviteja Vemulapalli (MICCAI (1), 2015)

Riemannian Metric Learning for Symmetric Positive Definite Matrices. - Raviteja Vemulapalli; David W. Jacobs (CoRR, 2015)

Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data. - Raviteja Vemulapalli; Rama Chellappa (CVPR, 2016)

Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising. - Raviteja Vemulapalli; Oncel Tuzel; Ming-Yu Liu 001 (CVPR, 2016)

Gaussian Conditional Random Field Network for Semantic Segmentation. - Raviteja Vemulapalli; Oncel Tuzel; Ming-Yu Liu 001; Rama Chellappa (CVPR, 2016)

R3DG features: Relative 3D geometry-based skeletal representations for human action recognition. - Raviteja Vemulapalli; Felipe Arrate; Rama Chellappa (Comput. Vis. Image Underst., 2016)

Explicit discriminative representation for improved classification of manifold features. - Arnold Wiliem; Raviteja Vemulapalli; Brian C. Lovell (Pattern Recognit. Lett., 2016)

Geometric Representations and Deep Gaussian Conditional Random field Networks for Computer Vision. - Raviteja Vemulapalli (2016)

Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis. - Raviteja Vemulapalli; Hien Van Nguyen; Shaohua Kevin Zhou (Deep Learning for Medical Image Analysis, 2017)

Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation. - Kota Hara; Raviteja Vemulapalli; Rama Chellappa (CoRR, 2017)

Frame-Recurrent Video Super-Resolution. - Mehdi S. M. Sajjadi; Raviteja Vemulapalli; Matthew Brown 001 (CVPR, 2018)

A Compact Embedding for Facial Expression Similarity. - Raviteja Vemulapalli; Aseem Agarwala (CVPR, 2019)

Search to Distill: Pearls are Everywhere but not the Eyes. - Yu Liu; Xuhui Jia; Mingxing Tan; Raviteja Vemulapalli; Yukun Zhu; Bradley Green; Xiaogang Wang (CoRR, 2019)

Search to Distill: Pearls Are Everywhere but Not the Eyes. - Yu Liu 015; Xuhui Jia; Mingxing Tan; Raviteja Vemulapalli; Yukun Zhu; Bradley Green; Xiaogang Wang 001 (CVPR, 2020)

Global Self-Attention Networks for Image Recognition. - Zhuoran Shen; Irwan Bello; Raviteja Vemulapalli; Xuhui Jia; Ching-Hui Chen (CoRR, 2020)

Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze. - Bardia Doosti; Ching-Hui Chen; Raviteja Vemulapalli; Xuhui Jia; Yukun Zhu; Bradley Green (AAAI, 2021)

Contrastive Learning for Label Efficient Semantic Segmentation. - Xiangyun Zhao; Raviteja Vemulapalli; Philip Andrew Mansfield; Boqing Gong; Bradley Green; Lior Shapira; Ying Wu 001 (ICCV, 2021)

Camera View Adjustment Prediction for Improving Image Composition. - Yu-Chuan Su; Raviteja Vemulapalli; Ben Weiss; Chun-Te Chu; Philip Andrew Mansfield; Lior Shapira; Colvin Pitts (CoRR, 2021)

Balancing Constraints and Submodularity in Data Subset Selection. - Srikumar Ramalingam; Daniel Glasner; Kaushal Patel; Raviteja Vemulapalli; Sadeep Jayasumana; Sanjiv Kumar (CoRR, 2021)

Federated Training of Dual Encoding Models on Small Non-IID Client Datasets. - Raviteja Vemulapalli; Warren Richard Morningstar; Philip Andrew Mansfield; Hubert Eichner; Karan Singhal; Arash Afkanpour; Bradley Green (CoRR, 2022)

Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout. - Pengfei Guo; Warren Richard Morningstar; Raviteja Vemulapalli; Karan Singhal; Vishal M. Patel; Philip Andrew Mansfield (CoRR, 2023)

Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models. - Raviteja Vemulapalli; Hadi Pouransari; Fartash Faghri; Sachin Mehta; Mehrdad Farajtabar; Mohammad Rastegari; Oncel Tuzel (CoRR, 2023)

Weight subcloning: direct initialization of transformers using larger pretrained ones. - Mohammad Samragh; Mehrdad Farajtabar; Sachin Mehta; Raviteja Vemulapalli; Fartash Faghri; Devang Naik; Oncel Tuzel; Mohammad Rastegari (CoRR, 2023)

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training. - Pavan Kumar Anasosalu Vasu; Hadi Pouransari; Fartash Faghri; Raviteja Vemulapalli; Oncel Tuzel (CVPR, 2024)

SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. - Haoxiang Wang 003; Pavan Kumar Anasosalu Vasu; Fartash Faghri; Raviteja Vemulapalli; Mehrdad Farajtabar; Sachin Mehta; Mohammad Rastegari; Oncel Tuzel; Hadi Pouransari (CVPR Workshops, 2024)

Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications. - Karren D. Yang; Anurag Ranjan; Jen-Hao Rick Chang; Raviteja Vemulapalli; Oncel Tuzel (CVPR, 2024)

MUSCLE: A Model Update Strategy for Compatible LLM Evolution. - Jessica Maria Echterhoff; Fartash Faghri; Raviteja Vemulapalli; Ting-Yao Hu; Chun-Liang Li; Oncel Tuzel; Hadi Pouransari (EMNLP (Findings), 2024)

Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models. - Hsuan Su; Ting-Yao Hu; Hema Swetha Koppula; Raviteja Vemulapalli; Jen-Hao Rick Chang; Karren D. Yang; Gautam Varma Mantena; Oncel Tuzel (ICASSP, 2024)

TiC-CLIP: Continual Training of CLIP Models. - Saurabh Garg; Mehrdad Farajtabar; Hadi Pouransari; Raviteja Vemulapalli; Sachin Mehta; Oncel Tuzel; Vaishaal Shankar; Fartash Faghri (ICLR, 2024)

Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models. - Raviteja Vemulapalli; Hadi Pouransari; Fartash Faghri; Sachin Mehta; Mehrdad Farajtabar; Mohammad Rastegari; Oncel Tuzel (ICML, 2024)

CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. - Mohammadreza Salehi; Mehrdad Farajtabar; Maxwell Horton; Fartash Faghri; Hadi Pouransari; Raviteja Vemulapalli; Oncel Tuzel; Ali Farhadi; Mohammad Rastegari; Sachin Mehta (Trans. Mach. Learn. Res., 2024)

TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. - Jeffrey Li; Mohammadreza Armandpour; Iman Mirzadeh; Sachin Mehta; Vaishaal Shankar; Raviteja Vemulapalli; Samy Bengio; Oncel Tuzel; Mehrdad Farajtabar; Hadi Pouransari; Fartash Faghri (ACL (1), 2025)

Mutual Reinforcement of LLM Dialogue Synthesis and Summarization Capabilities for Few-Shot Dialogue Summarization. - Yen-Ju Lu; Ting-Yao Hu; Hema Swetha Koppula; Hadi Pouransari; Jen-Hao Rick Chang; Yin Xia; Xiang Kong; Qi Zhu 011; Simon Wang; Oncel Tuzel; Raviteja Vemulapalli (NAACL (Findings), 2025)

Synth4Seg - Learning Defect Data Synthesis for Defect Segmentation Using Bi-Level Optimization. - Shancong Mou; Raviteja Vemulapalli; Shiyu Li; Yuxuan Liu 014; C. Thomas; Meng Cao; Haoping Bai; Oncel Tuzel; Ping Huang; Jiulong Shan; Jianjun Shi 001 (IEEE Trans Autom. Sci. Eng., 2025)

LangDA: Building Context-Awareness via Language for Domain Adaptive Semantic Segmentation. - Chang Liu; Bavesh Balaji; Saad Hossain; C. Thomas; Kwei-Herng Lai; Raviteja Vemulapalli; Alexander Wong; Sirisha Rambhatla (CoRR, 2025)

FocalLens: Instruction Tuning Enables Zero-Shot Conditional Image Representations. - Cheng-Yu Hsieh; Pavan Kumar Anasosalu Vasu; Fartash Faghri; Raviteja Vemulapalli; Chun-Liang Li; Ranjay Krishna; Oncel Tuzel; Hadi Pouransari (CoRR, 2025)

Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting. - Chen Huang 001; Skyler Seto; Hadi Pouransari; Mehrdad Farajtabar; Raviteja Vemulapalli; Fartash Faghri; Oncel Tuzel; Barry-John Theobald; Joshua M. Susskind (CoRR, 2025)