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ORCIDHemanth Venkateswara
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2020 – today
- 2024
[i16]Sachin Chhabra, Hemanth Venkateswara, Baoxin Li:
Domain Adaptation Using Pseudo Labels. CoRR abs/2402.06809 (2024)- 2023
- [c35]Sachin Chhabra, Hemanth Venkateswara, Baoxin Li:
Generative Alignment of Posterior Probabilities for Source-free Domain Adaptation. WACV 2023: 4114-4123 - 2022
- [c34]Sandipan Choudhuri, Suli Adeniye, Arunabha Sen, Hemanth Venkateswara:
Domain-Invariant Feature Alignment Using Variational Inference for Partial Domain Adaptation. IEEECONF 2022: 349-355 - [c33]Sachin Chhabra, Hemanth Venkateswara, Baoxin Li:
PatchSwap: A Regularization Technique for Vision Transformers. BMVC 2022: 996 - [c32]Vishnu Kakaraparthi
, Troy McDaniel, Hemanth Venkateswara, Morris Goldberg:
PERACTIV: Personalized Activity Monitoring - Ask My Hands. HCI (25) 2022: 255-272 - [i15]Aksheshkumar Ajaykumar Shah, Hemanth Venkateswara:
Sparsity Regularization For Cold-Start Recommendation. CoRR abs/2201.10711 (2022) - [i14]Sandipan Choudhuri, Hemanth Venkateswara, Arunabha Sen:
Coupling Adversarial Learning with Selective Voting Strategy for Distribution Alignment in Partial Domain Adaptation. CoRR abs/2207.08145 (2022) - [i13]Sachin Chhabra, Prabal Bijoy Dutta, Hemanth Venkateswara, Baoxin Li:
PatchRot: A Self-Supervised Technique for Training Vision Transformers. CoRR abs/2210.15722 (2022) - [i12]Sandipan Choudhuri, Suli Adeniye, Arunabha Sen, Hemanth Venkateswara:
Domain-Invariant Feature Alignment Using Variational Inference For Partial Domain Adaptation. CoRR abs/2212.01590 (2022) - 2021
- [j2]Corey D. C. Heath, Troy McDaniel, Hemanth Venkateswara, Sethuraman Panchanathan:
Improving communication skills of children with autism through support of applied behavioral analysis treatments using multimedia computing: a survey. Univers. Access Inf. Soc. 20(1): 13-30 (2021) - [c31]Nithiya Shree Uppara, Troy McDaniel, Hemanth Venkateswara:
Effect of Image Captioning with Description on the Working Memory. HCI (42) 2021: 107-120 - [c30]Sachin Chhabra, Hemanth Venkateswara, Baoxin Li:
Iterative Image Translation for Unsupervised Domain Adaptation. MULL @ ACM Multimedia 2021: 37-44 - [c29]Sachin Chhabra, Prabal Bijoy Dutta, Baoxin Li, Hemanth Venkateswara:
Glocal Alignment for Unsupervised Domain Adaptation. MULL @ ACM Multimedia 2021: 45-51 - [i11]Sandipan Choudhuri, Riti Paul, Arunabha Sen, Baoxin Li, Hemanth Venkateswara:
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation. CoRR abs/2101.02275 (2021) - 2020
- [c28]Sandipan Choudhuri, Riti Paul, Arunabha Sen, Baoxin Li, Hemanth Venkateswara:
Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation. ACSSC 2020: 289-293 - [c27]Maunil R. Vyas, Hemanth Venkateswara, Sethuraman Panchanathan:
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning. ECCV (30) 2020: 70-86 - [i10]Bijan Fakhri, Troy McDaniel, Heni Ben Amor, Hemanth Venkateswara, Abhik Chowdhury, Sethuraman Panchanathan:
Foveated Haptic Gaze. CoRR abs/2001.01824 (2020) - [i9]Maunil R. Vyas, Hemanth Venkateswara, Sethuraman Panchanathan:
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning. CoRR abs/2007.09549 (2020)
2010 – 2019
- 2019
- [c26]Corey D. C. Heath, Hemanth Venkateswara, Sethuraman Panchanathan:
Are You Paying Attention? Classifying Attention in Pivotal Response Treatment Videos. CVPR Workshops 2019: 1-9 - [c25]Corey D. C. Heath, Hemanth Venkateswara, Troy McDaniel, Sethuraman Panchanathan:
Using Multimodal Data for Automated Fidelity Evaluation in Pivotal Response Treatment Videos. GlobalSIP 2019: 1-5 - [c24]Corey D. C. Heath, Troy McDaniel, Hemanth Venkateswara, Sethuraman Panchanathan:
Parent and Child Voice Activity Detection in Pivotal Response Treatment Video Probes. HCI (26) 2019: 270-286 - [c23]Sethuraman Panchanathan, Troy McDaniel, Ramin Tadayon, Adric Rukkila, Hemanth Venkateswara:
Smart Stadia as Testbeds for Smart Cities: Enriching Fan Experiences and Improving Accessibility. ICNC 2019: 542-546 - [c22]Bijan Fakhri, Troy McDaniel, Heni Ben Amor, Hemanth Venkateswara, Abhik Chowdhury, Sethuraman Panchanathan:
Foveated Haptic Gaze. ICSM 2019: 132-144 - [c21]Corey D. C. Heath, Tracey Heath, Troy McDaniel, Hemanth Venkateswara, Sethuraman Panchanathan:
Using Participatory Design to Create a User Interface for Analyzing Pivotal Response Treatment Video Probes. ICSM 2019: 183-198 - [c20]Bhadrinath Nagabandi, Andrew Dudley, Hemanth Venkateswara, Sethuraman Panchanathan:
Certain and Consistent Domain Adaptation. ICSM 2019: 341-356 - [c19]Andrew Dudley, Bhadrinath Nagabandi, Hemanth Venkateswara, Sethuraman Panchanathan:
Domain Adaptive Fusion for Adaptive Image Classification. ICSM 2019: 357-371 - [c18]Meredith Moore, Michael Saxon, Hemanth Venkateswara, Visar Berisha, Sethuraman Panchanathan:
Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make. INTERSPEECH 2019: 2528-2532 - [c17]Piyush Papreja, Hemanth Venkateswara, Sethuraman Panchanathan:
Representation, Exploration and Recommendation of Playlists. PKDD/ECML Workshops (2) 2019: 543-550 - [i8]Piyush Papreja, Hemanth Venkateswara, Sethuraman Panchanathan:
Representation, Exploration and Recommendation of Music Playlists. CoRR abs/1907.01098 (2019) - 2018
- [c16]Hiranmayi Ranganathan, Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan:
Multi-Label Deep Active Learning with Label Correlation. ICIP 2018: 3418-3422 - [c15]Sethuraman Panchanathan, Ramin Tadayon, Hemanth Venkateswara, Troy McDaniel:
Person-Centric Multimedia: How Research Inspirations from Designing Solutions for Individual Users Benefits the Broader Population. ICSM 2018: 51-65 - [c14]Bijan Fakhri, Aaron Keech, Joel Schlosser, Ethan Brooks, Hemanth Venkateswara, Sethuraman Panchanathan, Zsolt Kira:
Deep Reinforcement Learning Methods for Navigational Aids. ICSM 2018: 66-75 - [c13]Corey D. C. Heath, Hemanth Venkateswara, Troy McDaniel, Sethuraman Panchanathan:
Detecting Attention in Pivotal Response Treatment Video Probes. ICSM 2018: 248-259 - [c12]Jose Eusebio, Hemanth Venkateswara, Sethuraman Panchanathan:
Semi-supervised Adversarial Image-to-Image Translation. ICSM 2018: 334-344 - [c11]Meredith Moore, Hemanth Venkateswara, Sethuraman Panchanathan:
Whistle-blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems. INTERSPEECH 2018: 466-470 - 2017
- [j1]Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan:
Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations. IEEE Signal Process. Mag. 34(6): 117-129 (2017) - [c10]Hemanth Venkateswara, Shayok Chakraborty, Troy McDaniel, Sethuraman Panchanathan:
Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation. AAAI Workshops 2017 - [c9]Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, Sethuraman Panchanathan:
Deep Hashing Network for Unsupervised Domain Adaptation. CVPR 2017: 5385-5394 - [c8]Hiranmayi Ranganathan, Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan:
Deep active learning for image classification. ICIP 2017: 3934-3938 - [i7]Ragav Venkatesan, Hemanth Venkateswara, Sethuraman Panchanathan, Baoxin Li:
A Strategy for an Uncompromising Incremental Learner. CoRR abs/1705.00744 (2017) - [i6]Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, Sethuraman Panchanathan:
Deep Hashing Network for Unsupervised Domain Adaptation. CoRR abs/1706.07522 (2017) - [i5]Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan:
Nonlinear Embedding Transform for Unsupervised Domain Adaptation. CoRR abs/1706.07524 (2017) - [i4]Hemanth Venkateswara, Prasanth Lade, Jieping Ye, Sethuraman Panchanathan:
Coupled Support Vector Machines for Supervised Domain Adaptation. CoRR abs/1706.07525 (2017) - [i3]Hemanth Venkateswara, Shayok Chakraborty, Troy McDaniel, Sethuraman Panchanathan:
Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation. CoRR abs/1706.07527 (2017) - [i2]Hemanth Venkateswara, Vineeth N. Balasubramanian, Prasanth Lade, Sethuraman Panchanathan:
Multiresolution Match Kernels for Gesture Video Classification. CoRR abs/1706.07530 (2017) - [i1]Hemanth Venkateswara, Prasanth Lade, Binbin Lin, Jieping Ye, Sethuraman Panchanathan:
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection. CoRR abs/1706.07535 (2017) - 2016
- [c7]Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan:
Nonlinear Embedding Transform for Unsupervised Domain Adaptation. ECCV Workshops (3) 2016: 451-457 - 2015
- [c6]Hemanth Venkateswara, Prasanth Lade, Binbin Lin, Jieping Ye, Sethuraman Panchanathan:
Efficient Approximate Solutions to Mutual Information Based Global Feature Selection. ICDM 2015: 1009-1014 - [c5]Prasanth Lade, Hemanth Venkateswara, Sethuraman Panchanathan:
Regularized Supervised Topic Model for Continuous Emotion Analysis. ICMLA 2015: 739-744 - [c4]Hemanth Venkateswara, Prasanth Lade, Jieping Ye, Sethuraman Panchanathan:
Coupled Support Vector Machines for Supervised Domain Adaptation. ACM Multimedia 2015: 1295-1298 - 2013
- [c3]Prasanth Lade, Vineeth Nallure Balasubramanian, Hemanth Venkateswara, Sethuraman Panchanathan:
Detection of changes in human affect dimensions using an Adaptive Temporal Topic model. ICME 2013: 1-6 - [c2]Hemanth Venkateswara, Vineeth Nallure Balasubramanian, Prasanth Lade, Sethuraman Panchanathan:
Multiresolution Match Kernels for gesture video classification. ICME Workshops 2013: 1-4 - 2011
- [c1]Shayok Chakraborty, Hemanth Venkateswara, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan:
Active Batch Selection for Fuzzy Classification in Facial Expression Recognition. ICMLA (1) 2011: 241-246
Coauthor Index
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