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cs.CV2026

Talk2Sensors: 3D Visual Grounding in Autonomous Driving via Sensor-Adaptive Physical Cue Matching

Runwei Guan, Di Tian, Ningwei Ouyang +9

As a key capability for embodied intelligence, 3D visual grounding (3DVG) has been predominantly studied in indoor scenes with RGB-D or point-cloud inputs, while existing outdoor e…

cs.CV2026

Traffic-CBM: A Structurally Interpretable Multimodal Framework for Encrypted Traffic Classification

Honglei Jin, Wenshuo Chen, Shaofeng Liang +6

The paper presents Traffic-CBM, a multimodal framework that classifies encrypted network traffic by converting flow statistics, temporal features, and byte-level data into hierarch…

cs.CV2026

Deep Learning for Semen Analysis in Male Infertility: Computer Vision, Multimodal Fusion, and Clinical Translation

Runwei Guan, Shaofeng Liang, Jiacheng Weng +10

Male infertility contributes substantially to the global infertility burden, and sperm analysis remains central to diagnosis, treatment planning, and assisted reproductive technolo…

cs.CV2026

MemoGen: Can Past Experience Improve Future Text-to-Image Generation?

Wenshuo Chen, Kuimou Yu, Bowen Tian +10

Modern text-to-image models have achieved strong visual synthesis, yet remain unreliable when prompts require implicit visual constraints, relational reasoning, or external knowled…

cs.CV2026

Delta Score Matters! Spatial Adaptive Multi Guidance in Diffusion Models

Haosen Li, Wenshuo Chen, Lei Wang +4

Diffusion models have achieved remarkable success in synthesizing complex static and temporal visuals, a breakthrough largely driven by Classifier-Free Guidance (CFG). However, des…

cs.CV2026

Oracle Noise: Faster Semantic Spherical Alignment for Interpretable Latent Optimization

Haosen Li, Wenshuo Chen, Lei Wang +3

Text-to-image diffusion models have achieved remarkable generative capabilities, yet accurately aligning complex textual prompts with synthesized layouts remains an ongoing challen…