Hemanth Venkateswara

发表

Improving communication skills of children with autism through support of applied behavioral analysis treatments using multimedia computing: a survey

Sethuraman Panchanathan, Corey D. C. Heath, Troy McDaniel, 2020, Universal Access in the Information Society.

Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation pdf

Sethuraman Panchanathan, Shayok Chakraborty, Hemanth Venkateswara, 2017, AAAI Workshops.

Domain Adaptive Fusion for Adaptive Image Classification

Sethuraman Panchanathan, Hemanth Venkateswara, Andrew Dudley, 2019, ICSM.

Say What? A Dataset for Exploring the Error Patterns That Two ASR Engines Make

Visar Berisha, Sethuraman Panchanathan, Hemanth Venkateswara, 2019, INTERSPEECH.

Deep Reinforcement Learning Methods for Navigational Aids

Sethuraman Panchanathan, Hemanth Venkateswara, Zsolt Kira, 2018, ICSM.

Semi-supervised Adversarial Image-to-Image Translation

Sethuraman Panchanathan, Hemanth Venkateswara, Jose Eusebio, 2018, ICSM.

Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning

Sethuraman Panchanathan, Hemanth Venkateswara, Maunil R Vyas, 2020, ECCV.

Detecting Attention in Pivotal Response Treatment Video Probes

Sethuraman Panchanathan, Corey D. C. Heath, Hemanth Venkateswara, 2018, ICSM.

Foveated Haptic Gaze

Sethuraman Panchanathan, Heni Ben Amor, Hemanth Venkateswara, 2019, ICSM.

Efficient Approximate Solutions to Mutual Information Based Global Feature Selection

Sethuraman Panchanathan, Jieping Ye, Prasanth Lade, 2015, 2015 IEEE International Conference on Data Mining.

Smart Stadia as Testbeds for Smart Cities: Enriching Fan Experiences and Improving Accessibility

Sethuraman Panchanathan, Hemanth Venkateswara, Ramin Tadayon, 2019, 2019 International Conference on Computing, Networking and Communications (ICNC).

Multi-Label Deep Active Learning with Label Correlation

Sethuraman Panchanathan, Shayok Chakraborty, Hemanth Venkateswara, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Certain and Consistent Domain Adaptation

Sethuraman Panchanathan, Hemanth Venkateswara, Andrew Dudley, 2019, ICSM.

Deep active learning for image classification

Sethuraman Panchanathan, Shayok Chakraborty, Hemanth Venkateswara, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Active Batch Selection for Fuzzy Classification in Facial Expression Recognition

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Shayok Chakraborty, 2011, 2011 10th International Conference on Machine Learning and Applications and Workshops.

Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations

Sethuraman Panchanathan, Shayok Chakraborty, Hemanth Venkateswara, 2017, IEEE Signal Processing Magazine.

Using Participatory Design to Create a User Interface for Analyzing Pivotal Response Treatment Video Probes

Sethuraman Panchanathan, Corey D. C. Heath, Hemanth Venkateswara, 2019, ICSM.

Detection of changes in human affect dimensions using an Adaptive Temporal Topic model

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Prasanth Lade, 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).

Nonlinear Embedding Transform for Unsupervised Domain Adaptation

Sethuraman Panchanathan, Shayok Chakraborty, Hemanth Venkateswara, 2016, ECCV Workshops.

Multiresolution Match Kernels for gesture video classification

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Prasanth Lade, 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

Deep Active Learning for Image Regression

Sethuraman Panchanathan, Shayok Chakraborty, Hemanth Venkateswara, 2020 .

Representation, Exploration and Recommendation of Music Playlists pdf

Sethuraman Panchanathan, Hemanth Venkateswara, Piyush Papreja, 2019, PKDD/ECML Workshops.

Coupled Support Vector Machines for Supervised Domain Adaptation

Sethuraman Panchanathan, Jieping Ye, Prasanth Lade, 2015, ACM Multimedia.

Deep Hashing Network for Unsupervised Domain Adaptation

Sethuraman Panchanathan, Shayok Chakraborty, Hemanth Venkateswara, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Regularized Supervised Topic Model for Continuous Emotion Analysis

Sethuraman Panchanathan, Prasanth Lade, Hemanth Venkateswara, 2015, 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).

Person-Centric Multimedia: How Research Inspirations from Designing Solutions for Individual Users Benefits the Broader Population

Sethuraman Panchanathan, Hemanth Venkateswara, Ramin Tadayon, 2018, ICSM.

Are You Paying Attention? Classifying Attention in Pivotal Response Treatment Videos

Sethuraman Panchanathan, Corey D. C. Heath, Hemanth Venkateswara, 2019, CVPR Workshops.

A Strategy for an Uncompromising Incremental Learner pdf

Baoxin Li, Sethuraman Panchanathan, Hemanth Venkateswara, 2017, ArXiv.

Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation pdf

Baoxin Li, Arunabha Sen, Hemanth Venkateswara, 2020, 2020 54th Asilomar Conference on Signals, Systems, and Computers.

Whistle-blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems

Sethuraman Panchanathan, Hemanth Venkateswara, Meredith Moore, 2018, INTERSPEECH.

Chapter 9 – Other Adaptations

Sethuraman Panchanathan, Vineeth N. Balasubramanian, Prasanth Lade, 2014 .