| 2025 | WACV | Dataset Augmentation by Mixing Visual Concepts. | Abdullah Al Rahat, Hemanth Venkateswara |
| 2024 | BMVC | PatchRot: Self-Supervised Training of Vision Transformers by Rotation Prediction. | Sachin Chhabra, Hemanth Venkateswara, Baoxin Li |
| 2024 | BMVC | Label Smoothing++: Enhanced Label Regularization for Training Neural Networks. | Sachin Chhabra, Hemanth Venkateswara, Baoxin Li |
| 2023 | WACV | Generative Alignment of Posterior Probabilities for Source-free Domain Adaptation. | Sachin Chhabra, Hemanth Venkateswara, Baoxin Li |
| 2022 | ACSSC | Domain-Invariant Feature Alignment Using Variational Inference for Partial Domain Adaptation. | Sandipan Choudhuri, Suli Adeniye, Arunabha Sen, Hemanth Venkateswara |
| 2022 | BMVC | PatchSwap: A Regularization Technique for Vision Transformers. | Sachin Chhabra, Hemanth Venkateswara, Baoxin Li |
| 2022 | HCI | PERACTIV: Personalized Activity Monitoring - Ask My Hands. | Vishnu Kakaraparthi, Troy McDaniel, Hemanth Venkateswara, Morris Goldberg |
| 2021 | HCI | Effect of Image Captioning with Description on the Working Memory. | Nithiya Shree Uppara, Troy McDaniel, Hemanth Venkateswara |
| 2020 | ACSSC | Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation. | Sandipan Choudhuri, Riti Paul, Arunabha Sen, Baoxin Li, Hemanth Venkateswara |
| 2020 | ECCV | Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning. | Maunil R. Vyas, Hemanth Venkateswara, Sethuraman Panchanathan |
| 2019 | CVPR | Are You Paying Attention? Classifying Attention in Pivotal Response Treatment Videos. | Corey D. C. Heath, Hemanth Venkateswara, Sethuraman Panchanathan |
| 2019 | HCI | Parent and Child Voice Activity Detection in Pivotal Response Treatment Video Probes. | Corey D. C. Heath, Troy McDaniel, Hemanth Venkateswara, Sethuraman Panchanathan |
| 2019 | Interspeech | Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make. | Meredith Moore, Michael Saxon, Hemanth Venkateswara, Visar Berisha, Sethuraman Panchanathan |
| 2018 | ICIP | Multi-Label Deep Active Learning with Label Correlation. | Hiranmayi Ranganathan, Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan |
| 2018 | Interspeech | Whistle-blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems. | Meredith Moore, Hemanth Venkateswara, Sethuraman Panchanathan |
| 2017 | AAAI | Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation. | Hemanth Venkateswara, Shayok Chakraborty, Troy McDaniel, Sethuraman Panchanathan |
| 2017 | CVPR | Deep Hashing Network for Unsupervised Domain Adaptation. | Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, Sethuraman Panchanathan |
| 2017 | ICIP | Deep active learning for image classification. | Hiranmayi Ranganathan, Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan |
| 2016 | ECCV | Nonlinear Embedding Transform for Unsupervised Domain Adaptation. | Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan |
| 2015 | ICDM | Efficient Approximate Solutions to Mutual Information Based Global Feature Selection. | Hemanth Venkateswara, Prasanth Lade, Binbin Lin, Jieping Ye, Sethuraman Panchanathan |
| 2015 | ICMLA | Regularized Supervised Topic Model for Continuous Emotion Analysis. | Prasanth Lade, Hemanth Venkateswara, Sethuraman Panchanathan |
| 2011 | ICMLA | Active Batch Selection for Fuzzy Classification in Facial Expression Recognition. | Shayok Chakraborty, Hemanth Venkateswara, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan |