Raviteja Vemulapalli

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 33

Top Venues

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Jessica Maria Echterhoff, Fartash Faghri, Raviteja Vemulapalli, Ting-Yao Hu, Chun-Liang Li, Oncel Tuzel, Hadi Pouransari
MUSCLE: A Model Update Strategy for Compatible LLM Evolution. CoRR (2024)
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. Trans. Mach. Learn. Res. 2024 (2024)
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
TiC-CLIP: Continual Training of CLIP Models. ICLR (2024)
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren D. Yang, Gautam Varma Mantena, Oncel Tuzel
Corpus Synthesis for Zero-Shot ASR Domain Adaptation Using Large Language Models. ICASSP (2024)
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Raviteja Vemulapalli, Jen-Hao Rick Chang, Karren Yang, Gautam Varma Mantena, Oncel Tuzel
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models. CoRR (2023)
Pengfei Guo, Warren Richard Morningstar, Raviteja Vemulapalli, Karan Singhal, Vishal M. Patel, Philip Andrew Mansfield
Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout. CoRR (2023)
Raviteja Vemulapalli, Hadi Pouransari, Fartash Faghri, Sachin Mehta, Mehrdad Farajtabar, Mohammad Rastegari, Oncel Tuzel
Label-efficient Training of Small Task-specific Models by Leveraging Vision Foundation Models. CoRR (2023)
Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri
TiC-CLIP: Continual Training of CLIP Models. CoRR (2023)
Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari
SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding. CoRR (2023)
Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. CoRR (2023)
Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel
MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training. CoRR (2023)
Karren D. Yang, Anurag Ranjan, Jen-Hao Rick Chang, Raviteja Vemulapalli, Oncel Tuzel
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications. CoRR (2023)
Mohammad Samragh, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Fartash Faghri, Devang Naik, Oncel Tuzel, Mohammad Rastegari
Weight subcloning: direct initialization of transformers using larger pretrained ones. CoRR (2023)
Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green
Federated Training of Dual Encoding Models on Small Non-IID Client Datasets. CoRR (2022)
Yu-Chuan Su, Raviteja Vemulapalli, Ben Weiss, Chun-Te Chu, Philip Andrew Mansfield, Lior Shapira, Colvin Pitts
Camera View Adjustment Prediction for Improving Image Composition. CoRR (2021)
Srikumar Ramalingam, Daniel Glasner, Kaushal Patel, Raviteja Vemulapalli, Sadeep Jayasumana, Sanjiv Kumar
Balancing Constraints and Submodularity in Data Subset Selection. CoRR (2021)
Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu
Contrastive Learning for Label Efficient Semantic Segmentation. ICCV (2021)
Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green
Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze. AAAI (2021)
Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu
Contrastive Learning for Label-Efficient Semantic Segmentation. CoRR (2020)
Zhuoran Shen, Irwan Bello, Raviteja Vemulapalli, Xuhui Jia, Ching-Hui Chen
Global Self-Attention Networks for Image Recognition. CoRR (2020)
Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang
Search to Distill: Pearls Are Everywhere but Not the Eyes. CVPR (2020)
Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green
Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze. CoRR (2020)
Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang
Search to Distill: Pearls are Everywhere but not the Eyes. CoRR (2019)
Raviteja Vemulapalli, Aseem Agarwala
A Compact Embedding for Facial Expression Similarity. CVPR (2019)
Raviteja Vemulapalli, Aseem Agarwala
A Compact Embedding for Facial Expression Similarity. CoRR (2018)
Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown
Frame-Recurrent Video Super-Resolution. CVPR (2018)
Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown
Frame-Recurrent Video Super-Resolution. CoRR (2018)
Kota Hara, Raviteja Vemulapalli, Rama Chellappa
Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation. CoRR (2017)
Raviteja Vemulapalli, Felipe Arrate, Rama Chellappa
R3DG features: Relative 3D geometry-based skeletal representations for human action recognition. Comput. Vis. Image Underst. 152 (2016)
Arnold Wiliem, Raviteja Vemulapalli, Brian C. Lovell
Explicit discriminative representation for improved classification of manifold features. Pattern Recognit. Lett. 80 (2016)
Raviteja Vemulapalli, Rama Chellappa
Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data. CVPR (2016)
Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu
Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising. CVPR (2016)
Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu, Rama Chellappa
Gaussian Conditional Random Field Network for Semantic Segmentation. CVPR (2016)
Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu
Deep Gaussian Conditional Random Field Network: A Model-based Deep Network for Discriminative Denoising. CoRR (2015)
Raviteja Vemulapalli, David W. Jacobs
Riemannian Metric Learning for Symmetric Positive Definite Matrices. CoRR (2015)
Hien Van Nguyen, Shaohua Kevin Zhou, Raviteja Vemulapalli
Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network. MICCAI (1) (2015)
Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou
Unsupervised Cross-Modal Synthesis of Subject-Specific Scans. ICCV (2015)
Raviteja Vemulapalli, Felipe Arrate, Rama Chellappa
Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group. CVPR (2014)
Raviteja Vemulapalli, Vinay Praneeth Boda, Rama Chellappa
MKL-RT: Multiple Kernel Learning for Ratio-trace Problems via Convex Optimization. CoRR (2014)
Raviteja Vemulapalli, Jaishanker K. Pillai, Rama Chellappa
Kernel Learning for Extrinsic Classification of Manifold Features. CVPR (2013)
Raviteja Vemulapalli, R. Aravind
Spatio-temporal nonparametric background modeling and subtraction. ICCV Workshops (2009)

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Publication Activity (10 Years)

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Raviteja Vemulapalli