activity
20222024
most citedTopoNav: Topological Navigation for Efficient Exploration in Sparse Reward Environments

2 citations · 4 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CV2024

Unsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignment

Indrajeet Ghosh, Garvit Chugh, Abu Zaher Md Faridee +1

Recent advancements in deep learning-based wearable human action recognition (wHAR) have improved the capture and classification of complex motions, but adoption remains limited du…

cs.RO2024

SERN: Bandwidth-Adaptive Cross-Reality Synchronization for Simulation-Enhanced Robot Navigation

Jumman Hossain, Emon Dey, Snehalraj Chugh +15

Cross reality integration of simulation and physical robots is a promising approach for multi-robot operations in contested environments, where communication may be intermittent, i…

cs.RO2024

EnCoMP: Enhanced Covert Maneuver Planning with Adaptive Threat-Aware Visibility Estimation using Offline Reinforcement Learning

Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy +3

Autonomous robots operating in complex environments face the critical challenge of identifying and utilizing environmental cover for covert navigation to minimize exposure to poten…

cs.RO2024★ 2 cited

TopoNav: Topological Navigation for Efficient Exploration in Sparse Reward Environments

Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy +3

Autonomous robots exploring unknown environments face a significant challenge: navigating effectively without prior maps and with limited external feedback. This challenge intensif…

cs.RO2023

CoverNav: Cover Following Navigation Planning in Unstructured Outdoor Environment with Deep Reinforcement Learning

Jumman Hossain, Abu-Zaher Faridee, Nirmalya Roy +2

Autonomous navigation in offroad environments has been extensively studied in the robotics field. However, navigation in covert situations where an autonomous vehicle needs to rema…

cs.CV2023

Novel Categories Discovery Via Constraints on Empirical Prediction Statistics

Zahid Hasan, Abu Zaher Md Faridee, Masud Ahmed +4

Novel Categories Discovery (NCD) aims to cluster novel data based on the class semantics of known classes using the open-world partial class space annotated dataset. As an alternat…

cs.CV2023

NEV-NCD: Negative Learning, Entropy, and Variance regularization based novel action categories discovery

Zahid Hasan, Masud Ahmed, Abu Zaher Md Faridee +4

Novel Categories Discovery (NCD) facilitates learning from a partially annotated label space and enables deep learning (DL) models to operate in an open-world setting by identifyin…

eess.SP2023★ 2 cited

Domain Adaptation for Inertial Measurement Unit-based Human Activity Recognition: A Survey

Avijoy Chakma, Abu Zaher Md Faridee, Indrajeet Ghosh +1

Machine learning-based wearable human activity recognition (WHAR) models enable the development of various smart and connected community applications such as sleep pattern monitori…

cs.SD2022

Predicting score distribution to improve non-intrusive speech quality estimation

Abu Zaher Md Faridee, Hannes Gamper

Deep noise suppressors (DNS) have become an attractive solution to remove background noise, reverberation, and distortions from speech and are widely used in telephony/voice applic…