Hemanth Venkateswara

According to our database, Hemanth Venkateswara authored at least 43 papers between 2011 and 2024.

Collaborative distances:

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

2024

Domain Adaptation Using Pseudo Labels.

Sachin Chhabra, Hemanth Venkateswara, Baoxin Li

CoRR, 2024

2023

Generative Alignment of Posterior Probabilities for Source-free Domain Adaptation.

Sachin Chhabra, Hemanth Venkateswara, Baoxin Li

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

2022

PatchRot: A Self-Supervised Technique for Training Vision Transformers.

Sachin Chhabra, Prabal Bijoy Dutta, Hemanth Venkateswara, Baoxin Li

CoRR, 2022

Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation.

Sandipan Choudhuri, Hemanth Venkateswara, Arunabha Sen

CoRR, 2022

Sparsity Regularization For Cold-Start Recommendation.

Aksheshkumar Ajaykumar Shah, Hemanth Venkateswara

CoRR, 2022

PERACTIV: Personalized Activity Monitoring - Ask My Hands.

Vishnu Kakaraparthi, Troy McDaniel, Hemanth Venkateswara, Morris Goldberg

Proceedings of the Distributed, Ambient and Pervasive Interactions. Smart Living, Learning, Well-being and Health, Art and Creativity, 2022

PatchSwap: A Regularization Technique for Vision Transformers.

Sachin Chhabra, Hemanth Venkateswara, Baoxin Li

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Domain-Invariant Feature Alignment Using Variational Inference for Partial Domain Adaptation.

Sandipan Choudhuri, Suli Adeniye, Arunabha Sen, Hemanth Venkateswara

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Improving communication skills of children with autism through support of applied behavioral analysis treatments using multimedia computing: a survey.

Corey D. C. Heath, Troy McDaniel, Hemanth Venkateswara, Sethuraman Panchanathan

Univers. Access Inf. Soc., 2021

Iterative Image Translation for Unsupervised Domain Adaptation.

Sachin Chhabra, Hemanth Venkateswara, Baoxin Li

Proceedings of the MULL'21: Multimedia Understanding with Less Labeling on Multimedia Understanding with Less Labeling, 2021

Glocal Alignment for Unsupervised Domain Adaptation.

Sachin Chhabra, Prabal Bijoy Dutta, Baoxin Li, Hemanth Venkateswara

Proceedings of the MULL'21: Multimedia Understanding with Less Labeling on Multimedia Understanding with Less Labeling, 2021

Effect of Image Captioning with Description on the Working Memory.

Nithiya Shree Uppara, Troy McDaniel, Hemanth Venkateswara

Proceedings of the HCI International 2021 - Late Breaking Papers: Cognition, Inclusion, Learning, and Culture, 2021

2020

Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning.

Maunil R. Vyas, Hemanth Venkateswara, Sethuraman Panchanathan

Proceedings of the Computer Vision - ECCV 2020, 2020

Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation.

Sandipan Choudhuri, Riti Paul, Arunabha Sen, Baoxin Li, Hemanth Venkateswara

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Representation, Exploration and Recommendation of Music Playlists.

Piyush Papreja, Hemanth Venkateswara, Sethuraman Panchanathan

CoRR, 2019

Representation, Exploration and Recommendation of Playlists.

Piyush Papreja, Hemanth Venkateswara, Sethuraman Panchanathan

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make.

Meredith Moore, Michael Saxon, Hemanth Venkateswara, Visar Berisha, Sethuraman Panchanathan

Proceedings of the Interspeech 2019, 2019

Certain and Consistent Domain Adaptation.

Bhadrinath Nagabandi, Andrew Dudley, Hemanth Venkateswara, Sethuraman Panchanathan

Proceedings of the Smart Multimedia - Second International Conference, 2019

Using Participatory Design to Create a User Interface for Analyzing Pivotal Response Treatment Video Probes.

Corey D. C. Heath, Tracey Heath, Troy McDaniel, Hemanth Venkateswara, Sethuraman Panchanathan

Proceedings of the Smart Multimedia - Second International Conference, 2019

Foveated Haptic Gaze.

Bijan Fakhri, Troy McDaniel, Heni Ben Amor, Hemanth Venkateswara, Abhik Chowdhury, Sethuraman Panchanathan

Proceedings of the Smart Multimedia - Second International Conference, 2019

Domain Adaptive Fusion for Adaptive Image Classification.

Andrew Dudley, Bhadrinath Nagabandi, Hemanth Venkateswara, Sethuraman Panchanathan

Proceedings of the Smart Multimedia - Second International Conference, 2019

Smart Stadia as Testbeds for Smart Cities: Enriching Fan Experiences and Improving Accessibility.

Sethuraman Panchanathan, Troy McDaniel, Ramin Tadayon, Adric Rukkila, Hemanth Venkateswara

Proceedings of the International Conference on Computing, Networking and Communications, 2019

Parent and Child Voice Activity Detection in Pivotal Response Treatment Video Probes.

Corey D. C. Heath, Troy McDaniel, Hemanth Venkateswara, Sethuraman Panchanathan

Proceedings of the Learning and Collaboration Technologies. Ubiquitous and Virtual Environments for Learning and Collaboration, 2019

Using Multimodal Data for Automated Fidelity Evaluation in Pivotal Response Treatment Videos.

Corey D. C. Heath, Hemanth Venkateswara, Troy McDaniel, Sethuraman Panchanathan

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Are You Paying Attention? Classifying Attention in Pivotal Response Treatment Videos.

Corey D. C. Heath, Hemanth Venkateswara, Sethuraman Panchanathan

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

2018

Whistle-blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems.

Meredith Moore, Hemanth Venkateswara, Sethuraman Panchanathan

Proceedings of the Interspeech 2018, 2018

Person-Centric Multimedia: How Research Inspirations from Designing Solutions for Individual Users Benefits the Broader Population.

Sethuraman Panchanathan, Ramin Tadayon, Hemanth Venkateswara, Troy McDaniel

Proceedings of the Smart Multimedia - First International Conference, 2018

Detecting Attention in Pivotal Response Treatment Video Probes.

Corey D. C. Heath, Hemanth Venkateswara, Troy McDaniel, Sethuraman Panchanathan

Proceedings of the Smart Multimedia - First International Conference, 2018

Deep Reinforcement Learning Methods for Navigational Aids.

Bijan Fakhri, Aaron Keech, Joel Schlosser, Ethan Brooks, Hemanth Venkateswara, Sethuraman Panchanathan, Zsolt Kira

Proceedings of the Smart Multimedia - First International Conference, 2018

Semi-supervised Adversarial Image-to-Image Translation.

Jose Eusebio, Hemanth Venkateswara, Sethuraman Panchanathan

Proceedings of the Smart Multimedia - First International Conference, 2018

Multi-Label Deep Active Learning with Label Correlation.

Hiranmayi Ranganathan, Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations.

Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan

IEEE Signal Process. Mag., 2017

A Strategy for an Uncompromising Incremental Learner.

Ragav Venkatesan, Hemanth Venkateswara, Sethuraman Panchanathan, Baoxin Li

CoRR, 2017

Deep active learning for image classification.

Hiranmayi Ranganathan, Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep Hashing Network for Unsupervised Domain Adaptation.

Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, Sethuraman Panchanathan

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation.

Hemanth Venkateswara, Shayok Chakraborty, Troy McDaniel, Sethuraman Panchanathan

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Nonlinear Embedding Transform for Unsupervised Domain Adaptation.

Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

Coupled Support Vector Machines for Supervised Domain Adaptation.

Hemanth Venkateswara, Prasanth Lade, Jieping Ye, Sethuraman Panchanathan

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Regularized Supervised Topic Model for Continuous Emotion Analysis.

Prasanth Lade, Hemanth Venkateswara, Sethuraman Panchanathan

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Efficient Approximate Solutions to Mutual Information Based Global Feature Selection.

Hemanth Venkateswara, Prasanth Lade, Binbin Lin, Jieping Ye, Sethuraman Panchanathan

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2013

Multiresolution Match Kernels for gesture video classification.

Hemanth Venkateswara, Vineeth Nallure Balasubramanian, Prasanth Lade, Sethuraman Panchanathan

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, 2013

Detection of changes in human affect dimensions using an Adaptive Temporal Topic model.

Prasanth Lade, Vineeth Nallure Balasubramanian, Hemanth Venkateswara, Sethuraman Panchanathan

Proceedings of the 2013 IEEE International Conference on Multimedia and Expo, 2013

2011

Active Batch Selection for Fuzzy Classification in Facial Expression Recognition.

Shayok Chakraborty, Hemanth Venkateswara, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011