Hemanth Venkateswara
Hemanth Venkateswara
Assistant Research Professor, Arizona State University
Verified email at asu.edu - Homepage
Title
Cited by
Cited by
Year
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
4132017
Other Adaptations
VN Balasubramanian, P Lade, H Venkateswara, E Smirnov, ...
Morgan Kaufmann, 2014
114*2014
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
612017
A Strategy for an Uncompromising Incremental Learner
R Venkatesan, H Venkateswara, S Panchanathan, B Li
CoRR, 2017
262017
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
142017
Detecting Attention in Pivotal Response Treatment Video Probes
CDC Heath, H Venkateswara, T McDaniel, S Panchanathan
Smart Multimedia (ICSM), 248-259, 2018
112018
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
112015
Whistle-blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems
M Moore, H Venkateswara, S Panchanathan
Proc. Interspeech 2018, 466-470, 2018
92018
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
82020
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
82015
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
72013
Multiresolution Match Kernels for Gesture Video Classification
H Venkateswara, VN Balasubramanian, P Lade, S Panchanathan
IEEE International Conference on Multimedia and Expo - Workshops (ICMEW), 1-4, 2013
72013
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
52019
Parent and Child Voice Activity Detection in Pivotal Response Treatment Video Probes
CDC Heath, T McDaniel, H Venkateswara, S Panchanathan
International Conference on Human-Computer Interaction (HCII), 270-286, 2019
42019
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
42019
Semi-supervised Adversarial Image-to-Image Translation
J Eusebio, H Venkateswara, S Panchanathan
Smart Multimedia (ICSM), 334-344, 2018
42018
Nonlinear Embedding Transform for Unsupervised Domain Adaptation
H Venkateswara, S Chakraborty, S Panchanathan
European Conference on Computer Vision - Workshops (ECCV-TaskCV), 451-457, 2016
42016
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
32020
Active Batch Selection for Fuzzy Classification in Facial Expression Recognition
S Chakraborty, H Venkateswara, V Balasubramanian, S Panchanathan
Proc. of 10th IEEE International Conference on Machine Learning and …, 2011
32011
Using Participatory Design to Create a User Interface for Analyzing Pivotal Response Treatment Video Probes
CDC Heath, T Heath, T McDaniel, H Venkateswara, S Panchanathan
Smart Multimedia (ICSM), 183-198, 2019
22019
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