Raviteja Vemulapalli

According to our database, Raviteja Vemulapalli authored at least 33 papers between 2009 and 2023.

Collaborative distances:

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

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

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

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

CoRR, 2023

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training.

Pavan Kumar Anasosalu Vasu, Hadi Pouransari, Fartash Faghri, Raviteja Vemulapalli, Oncel Tuzel

CoRR, 2023

TiC-CLIP: Continual Training of CLIP Models.

Saurabh Garg, Mehrdad Farajtabar, Hadi Pouransari, Raviteja Vemulapalli, Sachin Mehta, Oncel Tuzel, Vaishaal Shankar, Fartash Faghri

CoRR, 2023

SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding.

Haoxiang Wang, Pavan Kumar Anasosalu Vasu, Fartash Faghri, Raviteja Vemulapalli, Mehrdad Farajtabar, Sachin Mehta, Mohammad Rastegari, Oncel Tuzel, Hadi Pouransari

CoRR, 2023

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

CoRR, 2023

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

CoRR, 2023

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

2022

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

2021

Balancing Constraints and Submodularity in Data Subset Selection.

Srikumar Ramalingam, Daniel Glasner, Kaushal Patel, Raviteja Vemulapalli, Sadeep Jayasumana, Sanjiv Kumar

CoRR, 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

Contrastive Learning for Label Efficient Semantic Segmentation.

Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Boosting Image-based Mutual Gaze Detection using Pseudo 3D Gaze.

Bardia Doosti, Ching-Hui Chen, Raviteja Vemulapalli, Xuhui Jia, Yukun Zhu, Bradley Green

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Global Self-Attention Networks for Image Recognition.

Zhuoran Shen, Irwan Bello, Raviteja Vemulapalli, Xuhui Jia, Ching-Hui Chen

CoRR, 2020

Search to Distill: Pearls Are Everywhere but Not the Eyes.

Yu Liu, Xuhui Jia, Mingxing Tan, Raviteja Vemulapalli, Yukun Zhu, Bradley Green, Xiaogang Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Compact Embedding for Facial Expression Similarity.

Raviteja Vemulapalli, Aseem Agarwala

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Frame-Recurrent Video Super-Resolution.

Mehdi S. M. Sajjadi, Raviteja Vemulapalli, Matthew Brown

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Designing Deep Convolutional Neural Networks for Continuous Object Orientation Estimation.

Kota Hara, Raviteja Vemulapalli, Rama Chellappa

CoRR, 2017

Deep Networks and Mutual Information Maximization for Cross-Modal Medical Image Synthesis.

Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou

Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016

Geometric Representations and Deep Gaussian Conditional Random field Networks for Computer Vision.

Raviteja Vemulapalli

PhD thesis, 2016

Explicit discriminative representation for improved classification of manifold features.

Arnold Wiliem, Raviteja Vemulapalli, Brian C. Lovell

Pattern Recognit. Lett., 2016

R3DG features: Relative 3D geometry-based skeletal representations for human action recognition.

Raviteja Vemulapalli, Felipe Arrate, Rama Chellappa

Comput. Vis. Image Underst., 2016

Gaussian Conditional Random Field Network for Semantic Segmentation.

Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu, Rama Chellappa

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Gaussian Conditional Random Field Network: A Model-Based Deep Network for Discriminative Denoising.

Raviteja Vemulapalli, Oncel Tuzel, Ming-Yu Liu

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Rolling Rotations for Recognizing Human Actions from 3D Skeletal Data.

Raviteja Vemulapalli, Rama Chellappa

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Riemannian Metric Learning for Symmetric Positive Definite Matrices.

Raviteja Vemulapalli, David W. Jacobs

CoRR, 2015

Cross-Domain Synthesis of Medical Images Using Efficient Location-Sensitive Deep Network.

Hien Van Nguyen, Shaohua Kevin Zhou, Raviteja Vemulapalli

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Unsupervised Cross-Modal Synthesis of Subject-Specific Scans.

Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

MKL-RT: Multiple Kernel Learning for Ratio-trace Problems via Convex Optimization.

Raviteja Vemulapalli, Vinay Praneeth Boda, Rama Chellappa

CoRR, 2014

Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group.

Raviteja Vemulapalli, Felipe Arrate, Rama Chellappa

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Kernel Learning for Extrinsic Classification of Manifold Features.

Raviteja Vemulapalli, Jaishanker K. Pillai, Rama Chellappa

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2009

Spatio-temporal nonparametric background modeling and subtraction.

Raviteja Vemulapalli, R. Aravind

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009