Yachao Zhang
30 papers · 2021–2026 · 8 venues · across top CS/AI venues
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Research topics
Computer Vision
(23)
Deep Learning
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Machine Learning
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Analysis
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Artificial Intelligence
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Keywords
point cloud
(7)
semantic segmentation
(5)
3d semantic segmentation
(4)
multimodal learning
(4)
weakly supervised learning
(4)
motion generation
(3)
pseudo labeling
(3)
domain generalization
(3)
cross-modal learning
(3)
knowledge distillation
(3)
diffusion model
(3)
domain adaptation
(2)
edge detection
(2)
zero-shot learning
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state space model
(2)
contrastive learning
(2)
metric learning
(2)
video generation
(2)
attention mechanism
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vision-language alignment
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Papers
BeyondSparse: Facilitating Mamba to Enhance Cross-Domain 3D Semantic Segmentation in Adverse Weather
AAAI 2026
Direct Segmentation without Logits Optimization for Training-Free Open-Vocabulary Semantic Segmentation
CVPR 2026
PC-CrossDiff: Point-Cluster Dual-Level Cross-Modal Differential Attention for Unified 3D Referring and Segmentation
AAAI 2026
Target Refocusing via Attention Redistribution for Open-Vocabulary Semantic Segmentation: An Explainability Perspective
AAAI 2026
UZ3DVG: Unaided Zero-Shot 3D Visual Grounding with Generated Language Conditions
CVPR 2026
xMHashSeg: Cross-modal Hash Learning for Training-free Unsupervised LiDAR Semantic Segmentation
AAAI 2026
A Plug-and-Play Physical Motion Restoration Approach for In-the-Wild High-Difficulty Motions
ICCV 2025
AToM: Aligning Text-to-Motion Model at Event-Level with GPT-4Vision Reward
CVPR 2025
FloorPlan-LLaMa: Aligning Architects’ Feedback and Domain Knowledge in Architectural Floor Plan Generation
ACL 2025
Multi-Schema Proximity Network for Composed Image Retrieval
ICCV 2025
Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation
AAAI 2025
Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning
ICCV 2025
Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control
AAAI 2024
Cross-Modal Match for Language Conditioned 3D Object Grounding
AAAI 2024
Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification
NeurIPS 2024
Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives
CVPR 2024
MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models
NeurIPS 2024
Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification
ECCV 2024
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
ICLR 2024
UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior
NeurIPS 2024
BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation
ICCV 2023
Camouflaged Object Detection With Feature Decomposition and Edge Reconstruction
CVPR 2023
Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification
ICCV 2023
Efficient Converted Spiking Neural Network for 3D and 2D Classification
ICCV 2023
FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation
ICCV 2023
VS-Boost: Boosting Visual-Semantic Association for Generalized Zero-Shot Learning
IJCAI 2023
Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency
AAAI 2023
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping
NeurIPS 2023
Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation
ICCV 2021
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud
AAAI 2021