HyperStackNet: A Hyper Stacked Hourglass Deep Convolutional Neural Network Architecture for Joint Player and Stick Pose Estimation in Hockey. - Helmut Neher; Kanav Vats; Alexander Wong; David A. Clausi (CRV, 2018)

Pose-Projected Action Recognition Hourglass Network (PARHN) in Soccer. - Mehrnaz Fani; Kanav Vats; Christopher Dulhanty; David A. Clausi; John S. Zelek (CRV, 2019)

Two-Stream Action Recognition in Ice Hockey using Player Pose Sequences and Optical Flows. - Kanav Vats; Helmut Neher; David A. Clausi; John S. Zelek (CRV, 2019)

Temporal Hockey Action Recognition via Pose and Optical Flows. - Zixi Cai; Helmut Neher; Kanav Vats; David A. Clausi; John S. Zelek (CVPR Workshops, 2019)

Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning. - Devinder Kumar; Ibrahim Ben Daya; Kanav Vats; Jeffery Feng; Graham W. Taylor; Alexander Wong (CVPR Workshops, 2019)

GolfDB: A Video Database for Golf Swing Sequencing. - William J. McNally; Kanav Vats; Tyler Pinto; Chris Dulhanty; John McPhee 001; Alexander Wong (CVPR Workshops, 2019)

KPTransfer: Improved Performance and Faster Convergence from Keypoint Subset-Wise Domain Transfer in Human Pose Estimation. - Kanav Vats; Helmut Neher; Alexander Wong; David A. Clausi; John S. Zelek (ICIAR (2), 2019)

PuckNet: Estimating hockey puck location from broadcast video. - Kanav Vats; William J. McNally; Chris Dulhanty; Zhong Qiu Lin; David A. Clausi; John S. Zelek (CoRR, 2019)

Event detection in coarsely annotated sports videos via parallel multi receptive field 1D convolutions. - Kanav Vats; Mehrnaz Fani; Pascale Walters; David A. Clausi; John S. Zelek (CVPR Workshops, 2020)

EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Neuroevolution. - William J. McNally; Kanav Vats; Alexander Wong; John McPhee 001 (CoRR, 2020)

DeepDarts: Modeling Keypoints as Objects for Automatic Scorekeeping in Darts Using a Single Camera. - William J. McNally; Pascale Walters; Kanav Vats; Alexander Wong; John McPhee 001 (CVPR Workshops, 2021)

Puck Localization and Multi-Task Event Recognition in Broadcast Hockey Videos. - Kanav Vats; Mehrnaz Fani; David A. Clausi; John S. Zelek (CVPR Workshops, 2021)

Multi-task Learning for Jersey Number Recognition in Ice Hockey. - Kanav Vats; Mehrnaz Fani; David A. Clausi; John S. Zelek (MMSports@MM, 2021)

EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation Using Accelerated Neuroevolution With Weight Transfer. - William J. McNally; Kanav Vats; Alexander Wong; John McPhee 001 (IEEE Access, 2021)

Ice hockey player identification via transformers. - Kanav Vats; William J. McNally; Pascale Walters; David A. Clausi; John S. Zelek (CoRR, 2021)

Ice hockey player identification via transformers and weakly supervised learning. - Kanav Vats; William J. McNally; Pascale Walters; David A. Clausi; John S. Zelek (CVPR Workshops, 2022)

Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-person Human Pose Estimation. - William J. McNally; Kanav Vats; Alexander Wong; John McPhee 001 (ECCV (6), 2022)

Evaluating deep tracking models for player tracking in broadcast ice hockey video. - Kanav Vats; Mehrnaz Fani; David A. Clausi; John S. Zelek (LINHAC, 2022)

Player tracking and identification in ice hockey. - Kanav Vats; Pascale Walters; Mehrnaz Fani; David A. Clausi; John S. Zelek (Expert Syst. Appl., 2023)