| Deep Hashing Network for Unsupervised Domain Adaptation H Venkateswara, J Eusebio, S Chakraborty, S Panchanathan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 2198 | 2017 |
| Other Adaptations VN Balasubramanian, P Lade, H Venkateswara, E Smirnov, ... Morgan Kaufmann, 2014 | 308* | 2014 |
| Leveraging Seen and Unseen Semantic Relationships for Generative Zero-shot Learning MR Vyas, H Venkateswara, S Panchanathan European Conference on Computer Vision (ECCV), 70-86, 2020 | 140 | 2020 |
| Deep-learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations H Venkateswara, S Chakraborty, S Panchanathan IEEE Signal Processing Magazine 34 (6), 117-129, 2017 | 121 | 2017 |
| Deep Active Learning for Image Classification H Ranganathan, H Venkateswara, S Chakraborty, S Panchanathan 2017 IEEE International Conference on Image Processing (ICIP), 3934-3938, 2017 | 99 | 2017 |
| A Strategy for an Uncompromising Incremental Learner R Venkatesan, H Venkateswara, S Panchanathan, B Li CoRR, 2017 | 58 | 2017 |
| Whistle-blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems M Moore, H Venkateswara, S Panchanathan Proc. Interspeech 2018, 466-470, 2018 | 40 | 2018 |
| Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation S Choudhuri, H Venkateswara, A Sen Journal of Computational and Cognitive Engineering 1 (4), 181-186, 2022 | 17 | 2022 |
| Deep Active Learning for Image Regression H Ranganathan, H Venkateswara, S Chakraborty, S Panchanathan Deep Learning Applications, 113-135, 2020 | 15 | 2020 |
| Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make M Moore, M Saxon, H Venkateswara, V Berisha, S Panchanathan Proc. Interspeech 2019, 2528-2532, 2019 | 15 | 2019 |
| Efficient Approximate Solutions to Mutual Information Based Global Feature Selection H Venkateswara, P Lade, B Lin, J Ye, S Panchanathan Proc. of IEEE International Conference on Data Mining (ICDM), 1009-1014, 2015 | 15 | 2015 |
| Improving Communication Skills of Children With Autism Through Support of Applied Behavioral Analysis Treatments Using Multimedia Computing: A Survey CDC Heath, T McDaniel, H Venkateswara, S Panchanathan Universal Access in the Information Society, 1-18, 2020 | 12 | 2020 |
| Coupled Support Vector Machines for Supervised Domain Adaptation H Venkateswara, P Lade, J Ye, S Panchanathan Proceedings of the 23rd ACM International Conference on Multimedia (ACM-MM …, 2015 | 12 | 2015 |
| Detecting Attention in Pivotal Response Treatment Video Probes CDC Heath, H Venkateswara, T McDaniel, S Panchanathan Smart Multimedia (ICSM), 248-259, 2018 | 11 | 2018 |
| Domain Adaptation in Computer Vision with Deep Learning H Venkateswara, S Panchanathan Springer International Publishing, 2020 | 10 | 2020 |
| Glocal alignment for unsupervised domain adaptation S Chhabra, PB Dutta, B Li, H Venkateswara Multimedia Understanding with Less Labeling on Multimedia Understanding with …, 2021 | 9 | 2021 |
| Introduction to domain adaptation H Venkateswara, S Panchanathan Domain adaptation in computer vision with deep learning, 3-21, 2020 | 9 | 2020 |
| Smart Stadia as Testbeds for Smart Cities: Enriching Fan Experiences and Improving Accessibility S Panchanathan, T McDaniel, R Tadayon, A Rukkila, H Venkateswara Proc. of IEEE International Conference on Computing, Networking and …, 2019 | 9 | 2019 |
| Detection of Changes in Human Affect Dimensions Using an Adaptive Temporal Topic Model P Lade, VN Balasubramanian, H Venkateswara, S Panchanathan Proc. of IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2013 | 8 | 2013 |
| Generative alignment of posterior probabilities for source-free domain adaptation S Chhabra, H Venkateswara, B Li Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 7 | 2023 |
Sethuraman PanchanathanProfessor of Computer Science and Engineering, Arizona State University在 asu.edu 的电子邮件经过验证
