Arpit Garg

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 9

Top Topics

Sample Selection

Reinforcement Learning

Video Surveillance

Top Venues

IEEE Robotics Autom. Lett.

WACV (Workshops)

Publications

Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
Instance-Dependent Noisy Label Learning via Graphical Modelling. WACV (2023)
Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
Noisy-label Learning with Sample Selection based on Noise Rate Estimate. CoRR (2023)
Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
PASS: Peer-Agreement based Sample Selection for training with Noisy Labels. CoRR (2023)
Arpit Garg, Cuong Nguyen, Rafael Felix, Thanh-Toan Do, Gustavo Carneiro
Instance-Dependent Noisy Label Learning via Graphical Modelling. CoRR (2022)
Parshwa Shah, Arpit Garg, Vandit Gajjar
PeR-ViS: Person Retrieval in Video Surveillance using Semantic Description. WACV (Workshops) (2021)
Parshwa Shah, Arpit Garg, Vandit Gajjar
PeR-ViS: Person Retrieval in Video Surveillance using Semantic Description. CoRR (2020)
Yazied A. Hasan, Arpit Garg, Satomi Sugaya, Lydia Tapia
Defensive Escort Teams for Navigation in Crowds via Multi-Agent Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 5 (4) (2020)
Arpit Garg, Yazied A. Hasan, Adam Yañez, Lydia Tapia
Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning. CoRR (2019)
Arpit Garg, Hao-Tien Lewis Chiang, Satomi Sugaya, Aleksandra Faust, Lydia Tapia
Comparison of Deep Reinforcement Learning Policies to Formal Methods for Moving Obstacle Avoidance. IROS (2019)