activity
20212026
most citedSR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization

113 citations · 180 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Fine-Grained Action Recognition with Cross-Attentive Latent Sparse Experts

Imtiaz Ul Hassan, Tasweer Ahmad, Nik Bessis +1

Fine-grained human action recognition (FHAR) must distinguish visually similar actions that differ mainly in body configuration, timing, or local appearance. RGB representations re…

cs.CV2026

TAG-Head: Time-Aligned Graph Head for Plug-and-Play Fine-grained Action Recognition

Imtiaz Ul Hassan, Nik Bessis, Ardhendu Behera

Fine-grained human action recognition (FHAR) is challenging because visually similar actions differ by subtle spatio-temporal cues. Many recent systems enhance discriminability wit…

cs.AI2026

From Virtual Environments to Real-World Trials: Emerging Trends in Autonomous Driving

A. Humnabadkar, A. Sikdar, B. Cave +3

Autonomous driving technologies have achieved significant advances in recent years, yet their real-world deployment remains constrained by data scarcity, safety requirements, and t…

cs.CV2022★ 113 cited

SR-GNN: Spatial Relation-aware Graph Neural Network for Fine-Grained Image Categorization

Asish Bera, Zachary Wharton, Yonghuai Liu +2

Over the past few years, a significant progress has been made in deep convolutional neural networks (CNNs)-based image recognition. This is mainly due to the strong ability of such…

cs.CV2021★ 49 cited

Attend and Guide (AG-Net): A Keypoints-driven Attention-based Deep Network for Image Recognition

Asish Bera, Zachary Wharton, Yonghuai Liu +2

This paper presents a novel keypoints-based attention mechanism for visual recognition in still images. Deep Convolutional Neural Networks (CNNs) for recognizing images with distin…

cs.CV2021★ 1 cited

Coarse Temporal Attention Network (CTA-Net) for Driver's Activity Recognition

Zachary Wharton, Ardhendu Behera, Yonghuai Liu +1

There is significant progress in recognizing traditional human activities from videos focusing on highly distinctive actions involving discriminative body movements, body-object an…

cs.CV2021★ 17 cited

Regional Attention Network (RAN) for Head Pose and Fine-grained Gesture Recognition

Ardhendu Behera, Zachary Wharton, Morteza Ghahremani +2

Affect is often expressed via non-verbal body language such as actions/gestures, which are vital indicators for human behaviors. Recent studies on recognition of fine-grained actio…