Active Batch Selection for Fuzzy Classification in Facial Expression Recognition. - Shayok Chakraborty; Hemanth Venkateswara; Vineeth Nallure Balasubramanian; Sethuraman Panchanathan (ICMLA (1), 2011)

Detection of changes in human affect dimensions using an Adaptive Temporal Topic model. - Prasanth Lade; Vineeth Nallure Balasubramanian; Hemanth Venkateswara; Sethuraman Panchanathan (ICME, 2013)

Multiresolution Match Kernels for gesture video classification. - Hemanth Venkateswara; Vineeth Nallure Balasubramanian; Prasanth Lade; Sethuraman Panchanathan (ICME Workshops, 2013)

Efficient Approximate Solutions to Mutual Information Based Global Feature Selection. - Hemanth Venkateswara; Prasanth Lade; Binbin Lin; Jieping Ye; Sethuraman Panchanathan (ICDM, 2015)

Regularized Supervised Topic Model for Continuous Emotion Analysis. - Prasanth Lade; Hemanth Venkateswara; Sethuraman Panchanathan (ICMLA, 2015)

Coupled Support Vector Machines for Supervised Domain Adaptation. - Hemanth Venkateswara; Prasanth Lade; Jieping Ye; Sethuraman Panchanathan (ACM Multimedia, 2015)

Nonlinear Embedding Transform for Unsupervised Domain Adaptation. - Hemanth Venkateswara; Shayok Chakraborty; Sethuraman Panchanathan (ECCV Workshops (3), 2016)

Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation. - Hemanth Venkateswara; Shayok Chakraborty; Troy McDaniel; Sethuraman Panchanathan (AAAI Workshops, 2017)

Deep Hashing Network for Unsupervised Domain Adaptation. - Hemanth Venkateswara; Jose Eusebio; Shayok Chakraborty; Sethuraman Panchanathan (CVPR, 2017)

Deep active learning for image classification. - Hiranmayi Ranganathan; Hemanth Venkateswara; Shayok Chakraborty; Sethuraman Panchanathan (ICIP, 2017)

A Strategy for an Uncompromising Incremental Learner. - Ragav Venkatesan; Hemanth Venkateswara; Sethuraman Panchanathan; Baoxin Li (CoRR, 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)

Multi-Label Deep Active Learning with Label Correlation. - Hiranmayi Ranganathan; Hemanth Venkateswara; Shayok Chakraborty; Sethuraman Panchanathan (ICIP, 2018)

Semi-supervised Adversarial Image-to-Image Translation. - Jose Eusebio; Hemanth Venkateswara; Sethuraman Panchanathan (ICSM, 2018)

Deep Reinforcement Learning Methods for Navigational Aids. - Bijan Fakhri; Aaron Keech; Joel Schlosser; Ethan Brooks; Hemanth Venkateswara; Sethuraman Panchanathan; Zsolt Kira (ICSM, 2018)

Detecting Attention in Pivotal Response Treatment Video Probes. - Corey D. C. Heath; Hemanth Venkateswara; Troy McDaniel; Sethuraman Panchanathan (ICSM, 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 (ICSM, 2018)

Whistle-blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems. - Meredith Moore 001; Hemanth Venkateswara; Sethuraman Panchanathan (INTERSPEECH, 2018)

Are You Paying Attention? Classifying Attention in Pivotal Response Treatment Videos. - Corey D. C. Heath; Hemanth Venkateswara; Sethuraman Panchanathan (CVPR Workshops, 2019)

Using Multimodal Data for Automated Fidelity Evaluation in Pivotal Response Treatment Videos. - Corey D. C. Heath; Hemanth Venkateswara; Troy McDaniel; Sethuraman Panchanathan (GlobalSIP, 2019)

Parent and Child Voice Activity Detection in Pivotal Response Treatment Video Probes. - Corey D. C. Heath; Troy McDaniel; Hemanth Venkateswara; Sethuraman Panchanathan (HCI (26), 2019)

Smart Stadia as Testbeds for Smart Cities: Enriching Fan Experiences and Improving Accessibility. - Sethuraman Panchanathan; Troy McDaniel; Ramin Tadayon; Adric Rukkila; Hemanth Venkateswara (ICNC, 2019)

Domain Adaptive Fusion for Adaptive Image Classification. - Andrew Dudley; Bhadrinath Nagabandi; Hemanth Venkateswara; Sethuraman Panchanathan (ICSM, 2019)

Foveated Haptic Gaze. - Bijan Fakhri; Troy McDaniel; Heni Ben Amor; Hemanth Venkateswara; Abhik Chowdhury; Sethuraman Panchanathan (ICSM, 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 (ICSM, 2019)

Certain and Consistent Domain Adaptation. - Bhadrinath Nagabandi; Andrew Dudley; Hemanth Venkateswara; Sethuraman Panchanathan (ICSM, 2019)

Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make. - Meredith Moore 001; Michael Saxon; Hemanth Venkateswara; Visar Berisha; Sethuraman Panchanathan (INTERSPEECH, 2019)

Representation, Exploration and Recommendation of Playlists. - Piyush Papreja; Hemanth Venkateswara; Sethuraman Panchanathan (PKDD/ECML Workshops (2), 2019)

Representation, Exploration and Recommendation of Music Playlists. - Piyush Papreja; Hemanth Venkateswara; Sethuraman Panchanathan (CoRR, 2019)

Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation. - Sandipan Choudhuri; Riti Paul; Arunabha Sen; Baoxin Li; Hemanth Venkateswara (ACSSC, 2020)

Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning. - Maunil R. Vyas; Hemanth Venkateswara; Sethuraman Panchanathan (ECCV (30), 2020)

Effect of Image Captioning with Description on the Working Memory. - Nithiya Shree Uppara; Troy McDaniel; Hemanth Venkateswara (HCI (42), 2021)

Glocal Alignment for Unsupervised Domain Adaptation. - Sachin Chhabra; Prabal Bijoy Dutta; Baoxin Li; Hemanth Venkateswara (MULL @ ACM Multimedia, 2021)

Iterative Image Translation for Unsupervised Domain Adaptation. - Sachin Chhabra; Hemanth Venkateswara; Baoxin Li (MULL @ ACM Multimedia, 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)

Domain-Invariant Feature Alignment Using Variational Inference for Partial Domain Adaptation. - Sandipan Choudhuri; Suli Adeniye; Arunabha Sen; Hemanth Venkateswara (IEEECONF, 2022)

PatchSwap: A Regularization Technique for Vision Transformers. - Sachin Chhabra; Hemanth Venkateswara; Baoxin Li (BMVC, 2022)

PERACTIV: Personalized Activity Monitoring - Ask My Hands. - Vishnu Kakaraparthi; Troy McDaniel; Hemanth Venkateswara; Morris Goldberg (HCI (25), 2022)

Sparsity Regularization For Cold-Start Recommendation. - Aksheshkumar Ajaykumar Shah; Hemanth Venkateswara (CoRR, 2022)

Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation. - Sandipan Choudhuri; Hemanth Venkateswara; Arunabha Sen (CoRR, 2022)

PatchRot: A Self-Supervised Technique for Training Vision Transformers. - Sachin Chhabra; Prabal Bijoy Dutta; Hemanth Venkateswara; Baoxin Li (CoRR, 2022)

Generative Alignment of Posterior Probabilities for Source-free Domain Adaptation. - Sachin Chhabra; Hemanth Venkateswara; Baoxin Li (WACV, 2023)

PatchRot: Self-Supervised Training of Vision Transformers by Rotation Prediction. - Sachin Chhabra; Hemanth Venkateswara; Baoxin Li (BMVC, 2024)

Label Smoothing++: Enhanced Label Regularization for Training Neural Networks. - Sachin Chhabra; Hemanth Venkateswara; Baoxin Li (BMVC, 2024)

Domain Adaptation Using Pseudo Labels. - Sachin Chhabra; Hemanth Venkateswara; Baoxin Li (CoRR, 2024)

Dataset Augmentation by Mixing Visual Concepts. - Abdullah Al Rahat; Hemanth Venkateswara (WACV, 2025)