Explaining the Unexplained: A CLass-Enhanced Attentive Response (CLEAR) Approach to Understanding Deep Neural Networks
D.Kumar, A. Wong, and G. W. Taylor
Computer Vision and Pattern Recognition Workshop (CVPR-W) Accepted, 2017
Understanding Anatomy Classification Using Visualization
D.Kumar, and V.Menkovski
30th NIPS Machine Learning for Health (NIPS-MLH) Workshop, 2016
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection
M.J.Shafiee, A.G. Chung, D. Kumar,, F. Khalvati, M.A. Haider and A. Wong
29th NIPS Machine Learning for Healthcare (NIPS-MLH) Workshop, 2015
Recipe recognition with large multimodal food dataset
X.Wang, D.Kumar, N.Thome, M.Cord, and F.Precioso
7th Workshop on Multimediafor Cooking and Eating Activities (CEA) in conjuction with ICME, July 2015.
Taming the North: Multi-Camera Parallel Tracking and Mapping in Snow-Laden Environments
A.Das, D.Kumar, A.E.Bably and S. Waslander
In proceedings Field and Service Robotics (FSR), June, 2015.
Lung Nodule Classification Using Deep Features in CT Images (Oral)
D. Kumar, A. Wong and D. Clausi
12th Conference on Computer and Robot Vision (CRV), Halifax, NS, June, 2015.
Best Paper Award (3rd Position-Undergrad) in IEEE Region 10 Paper Contest
Constructive Learning for Human-Robot Interaction
A.Singh, S.Karanam, and D.Kumar
IEEE Potentials, Vol. 32, Issue: 4, pp(s): 13-19, Aug, 2013