most citedDepthGait: Multi-Scale Cross-Level Feature Fusion of RGB-Derived Depth and Silhouette Sequences for Robust Gait Recognition

2 citations · 3 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Enhanced Deformable Convolution with Center-invariant Offset and Edge-aware Mask

Yixiao Li, Xiaoyuan Yang, Jin Jiang +5

Deformable convolution networks have recently become popular for many computer vision tasks, especially for semantic segmentation, because of their exceptional capabilities in dyna…

cs.CV2026

RAGMesh with FaME-G2E: Long-Form Text-Driven 3D Face Generation and Editing

Hao Li, Ju Dai, Feng Zhou +6

Text-driven 3D face generation and editing remains challenging due to the difficulty of translating long-form descriptions into fine-grained facial geometry. Existing methods prima…

cs.CV2026

Modeling Scientific Experiment Scenes: Dataset and Model

Minghao Zou, Qingtian Zeng, Shangkun Liu +5

Scene Graph Generation (SGG) is fundamental to structured visual understanding, yet existing benchmarks focus mainly on daily-life images and overlook scientific experiment scenes…

cs.CV2026

COMEX: A Composition-Grounded Benchmark and Learning Framework for Explainable Aesthetic Image Cropping

Rui Yang, Wei Zhou, Dingyong Gou +5

Explainable aesthetic image cropping requires not only localizing a visually pleasing crop but also explaining why it is preferred. Existing crop-and-explain methods largely treat…

cs.CV2026

The 1st PortraitCraft Challenge: A CVPR 2026 Workshop Competition on Portrait Composition Understanding and Generation

Zijie Lou, Youyun Tang, Xiaochao Qu +40

This paper presents an overview of the inaugural PortraitCraft Challenge, held as one of the official competitions at CVPR 2026. The challenge focuses on portrait composition under…

cs.CV2026

PhysScene: A Scene Graph Dataset for Scientific Visual Reasoning in Physics Experiments

Minghao Zou, Qingtian Zeng, Shangkun Liu +5

Scene Graphs (SGs) provide structured representations of visual scenes by modeling objects and their pairwise relationships. Despite recent progress, existing datasets primarily fo…

cs.CV2026

Depth-Guided Metric-Aware Temporal Consistency for Monocular Video Human Mesh Recovery

Jiaxin Cen, Xudong Mao, Guanghui Yue +4

Monocular video human mesh recovery faces fundamental challenges in maintaining metric consistency and temporal stability due to inherent depth ambiguities and scale uncertainties.…

cs.CV2025★ 2 cited

DepthGait: Multi-Scale Cross-Level Feature Fusion of RGB-Derived Depth and Silhouette Sequences for Robust Gait Recognition

Xinzhu Li, Juepeng Zheng, Yikun Chen +7

Robust gait recognition requires highly discriminative representations, which are closely tied to input modalities. While binary silhouettes and skeletons have dominated recent lit…

cs.CV2025★ 1 cited

VideoForest: Person-Anchored Hierarchical Reasoning for Cross-Video Question Answering

Yiran Meng, Junhong Ye, Wei Zhou +4

Cross-video question answering presents significant challenges beyond traditional single-video understanding, particularly in establishing meaningful connections across video strea…

cs.CV2025

SARTM: Segment Any RGB Thermal Model with Language aided Distillation

Dong Xing, Jinhe Zhang, Hang Yang +1

The recent Segment Anything Model (SAM) demonstrates strong instance segmentation performance across various downstream tasks. However, SAM is trained solely on RGB data, limiting…