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20172026
most citedA Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-detection

21 citations · 116 across the 53 of their papers we have counts for

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76 papers · 1 filter

cs.CV2026

Corrupting Attention: Evasion-Based Adversarial Attacks on Encoder Attention in Detection Transformers

Ridma Jayasundara, Shaheer Mohamed, Tharindu Fernando +6

Adversarial vulnerabilities remain a major concern for the safe deployment of neural networks, particularly in object detection, a core task embedded in many safety-critical system…

cs.CV2026

TOLiD: Bridging the Architecture Gap in Vision Foundation Model to LiDAR Pretraining via Token Lifting for Distillation

Sutharsan Mahendran, Darshana Priyasad, Kaushik Roy +4

Cross-modal distillation from Vision Foundation Models (VFMs) to LiDAR backbones has recently emerged as a self-supervised pretraining strategy that reduces reliance on dense point…

cs.CV2026

Physics-Guided Attention in a Lightweight TCN for Efficient WiFi CSI-Based Human Activity Recognition

Chinthaka Ranasingha, Tharindu Fernando, Sridha Sridharan +2

Human Action Recognition (HAR) using WiFi Channel State Information (CSI) has gained increasing attention due to its non-contact, low-cost, and privacy-preserving nature. However,…

cs.CV2026

Ilov3Splat: Instance-Level Open-Vocabulary 3D Scene Understanding in Gaussian Splatting

Binh Long Nguyen, Kien Nguyen, Sridha Sridharan +2

We introduce Ilov3Splat, a novel framework for instance-level open-vocabulary 3D scene understanding built on 3D Gaussian Splatting (3D-GS). Most prior work depends on 2D rendering…

cs.CV2026

DIS2: Disentanglement Meets Distillation with Classwise Attention for Robust Remote Sensing Segmentation under Missing Modalities

Nhi Kieu, Kien Nguyen, Arnold Wiliem +2

The efficacy of multimodal learning in remote sensing (RS) is severely undermined by missing modalities. The challenge is exacerbated by the RS highly heterogeneous data and huge s…

cs.CV20253 cited

Person Recognition in Aerial Surveillance: A Decade Survey

Kien Nguyen, Feng Liu, Clinton Fookes +3

The rapid emergence of airborne platforms and imaging sensors is enabling new forms of aerial surveillance due to their unprecedented advantages in scale, mobility, deployment, and…