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20242026
most citedFusionMamba: Efficient Remote Sensing Image Fusion with State Space Model

93 citations · 95 across the 14 of their papers we have counts for

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Showing 2026Show all

9 papers · 1 filter

cs.CV2026

VisionHOPE: Visual Backbones as Self-Modifying Learning Systems

Siran Peng, Tianshuo Zhang, Tianyu Fu +8

Visual backbones have evolved from Convolutional Neural Networks (CNNs) with local aggregation to Vision Transformers (ViTs) with global interactions, State-Space Models (SSMs) wit…

cs.CL2026

Self-Supervised Skill Optimization

Siran Peng, Cuiyu Yang, Tianyu Fu +9

Agent skills provide frozen large language model (LLM) agents with reusable procedural guidance, and recent work shows that such skills can be optimized with ground-truth (GT) feed…

cs.CV2026

Private Face Recognition Training Dataset Publication via Identity-Decoupled and Geometry-Preserving Face Distillation

Shuhuan Chen, Xiangyu Zhu, Weisong Zhao +6

Publishing private face recognition~(FR) training datasets is privacy-sensitive because faces expose identity information. Private FR training dataset publication mitigates this ri…

cs.CV2026

CPG-PAD: Concept-Informed Prompts Guided Presentation Attack Detection

Haoyuan Zhang, Xiangyu Zhu, Li Gao +3

Presentation Attack Detection (PAD) serves as a crucial safeguard for face recognition systems against presentation attacks such as printed photos, replayed videos, and 3D masks. D…

cs.CV2026★ 1 cited

Adaptive 3D Convolution for Remote Sensing Image Fusion

Siran Peng, Xiangyu Zhu, Shang-Qi Deng +2

Remote sensing image fusion aims to create a high-resolution multi/hyper-spectral image from a high-resolution image with limited spectral information and a low-resolution image wi…

cs.CV2026

Direct Discrepancy Replay: Distribution-Discrepancy Condensation and Manifold-Consistent Replay for Continual Face Forgery Detection

Tianshuo Zhang, Haoyuan Zhang, Siran Peng +3

Continual face forgery detection (CFFD) requires detectors to learn emerging forgery paradigms without forgetting previously seen manipulations. Existing CFFD methods commonly rely…

cs.CV2026

From Intuition to Investigation: A Tool-Augmented Reasoning MLLM Framework for Generalizable Face Anti-Spoofing

Haoyuan Zhang, Keyao Wang, Guosheng Zhang +11

Face recognition remains vulnerable to presentation attacks, calling for robust Face Anti-Spoofing (FAS) solutions. Recent MLLM-based FAS methods reformulate the binary classificat…

cs.CL2026

One Ring to Rule Them All: Unifying Group-Based RL via Dynamic Power-Mean Geometry

Weisong Zhao, Tong Wang, Zichang Tan +11

Group-based reinforcement learning has evolved from the arithmetic mean of GRPO to the geometric mean of GMPO. While GMPO improves stability by constraining a conservative objectiv…

cs.CL2026

UPA: Unsupervised Prompt Agent via Tree-Based Search and Selection

Siran Peng, Weisong Zhao, Tianyu Fu +6

Prompt agents have recently emerged as a promising paradigm for automated prompt optimization, framing prompt discovery as a sequential decision-making problem over a structured pr…