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20172026
most citedEvolutionary Multitasking for Single-objective Continuous Optimization: Benchmark Problems, Performance Metric, and Baseline Results

137 citations · 165 across the 24 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

EvTrajGS: Accurate and Efficient 3D Gaussian Splatting from Unposed Event Streams

Zixuan Chen, Jiakai Zhang, Junhao Dong +4

Event cameras, with high temporal resolution, high dynamic range, and asynchronous sensing characteristics, have shown great potential for dense 3D reconstruction. Traditional reco…

cs.CV2026

Unifying Adversarially Robust Model Experts in Vision-Language Models

Nguyen Duc Thai, Junhao Dong, Sua Qi Rong +2

Vision-language models (VLMs), such as CLIP, are vulnerable to adversarial attacks, posing a serious problem for real-life applications and deployment. Adversarial fine-tuning emer…

cs.CV2025

MMT-ARD: Multimodal Multi-Teacher Adversarial Distillation for Robust Vision-Language Models

Yuqi Li, Junhao Dong, Chuanguang Yang +5

Vision-Language Models (VLMs) are increasingly deployed in safety-critical applications, making their adversarial robustness a crucial concern. While adversarial knowledge distilla…

cs.CV2024

Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection

Jiawen Zhu, Yew-Soon Ong, Chunhua Shen +1

Current zero-shot anomaly detection (ZSAD) methods show remarkable success in prompting large pre-trained vision-language models to detect anomalies in a target dataset without usi…

cs.CV2024

DivDiff: A Conditional Diffusion Model for Diverse Human Motion Prediction

Hua Yu, Yaqing Hou, Wenbin Pei +1

Diverse human motion prediction (HMP) aims to predict multiple plausible future motions given an observed human motion sequence. It is a challenging task due to the diversity of po…

cs.CV2024

Precise-Physics Driven Text-to-3D Generation

Qingshan Xu, Jiao Liu, Melvin Wong +2

Text-to-3D generation has shown great promise in generating novel 3D content based on given text prompts. However, existing generative methods mostly focus on geometric or visual p…