activity
20162023
most citedAdaptive Correlation Filters with Long-Term and Short-Term Memory for Object Tracking

160 citations · 341 across the 16 of their papers we have counts for

collaborators

18 papers

cs.CV2023

Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation

Qinglong Cao, Yuntian Chen, Chao Ma +1

Few-shot aerial image segmentation is a challenging task that involves precisely parsing objects in query aerial images with limited annotated support. Conventional matching method…

cs.CV2022★ 23 cited

Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition

Shuai Jia, Bangjie Yin, Taiping Yao +4

Deep learning models have shown their vulnerability when dealing with adversarial attacks. Existing attacks almost perform on low-level instances, such as pixels and super-pixels,…

cs.CV2022★ 1 cited

AiATrack: Attention in Attention for Transformer Visual Tracking

Shenyuan Gao, Chunluan Zhou, Chao Ma +2

Transformer trackers have achieved impressive advancements recently, where the attention mechanism plays an important role. However, the independent correlation computation in the…

cs.CV2022★ 5 cited

Exploring Frequency Adversarial Attacks for Face Forgery Detection

Shuai Jia, Chao Ma, Taiping Yao +3

Various facial manipulation techniques have drawn serious public concerns in morality, security, and privacy. Although existing face forgery classifiers achieve promising performan…

cs.CV2022★ 3 cited

Facial Geometric Detail Recovery via Implicit Representation

Xingyu Ren, Alexandros Lattas, Baris Gecer +4

Learning a dense 3D model with fine-scale details from a single facial image is highly challenging and ill-posed. To address this problem, many approaches fit smooth geometries thr…

cs.CV2021

Modality-Guided Subnetwork for Salient Object Detection

Zongwei Wu, Guillaume Allibert, Christophe Stolz +2

Recent RGBD-based models for saliency detection have attracted research attention. The depth clues such as boundary clues, surface normal, shape attribute, etc., contribute to the…