conftrace_

Yanyun Qu

56 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (10) 🌍 Conference Polyglot (8)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🏠 Conference Loyalist (21) 🀝 Dynamic Duo (45) πŸ† Grand Slam πŸ”¬ Deep Specialist (12) πŸ’Ž Century Club (50) πŸ“ˆ Trend Setter ⚑ Prolific Year (16) πŸ—ƒοΈ Keyword Collector (224) πŸ”₯ Unstoppable (7)

Conferences

AAAI (21) CVPR (13) ICCV (7) IJCAI (6) NIPS (4) ECCV (3) ICLR (1) ICML (1)

Papers

xMHashSeg: Cross-modal Hash Learning for Training-free Unsupervised LiDAR Semantic Segmentation AAAI 2026 Target Refocusing via Attention Redistribution for Open-Vocabulary Semantic Segmentation: An Explainability Perspective AAAI 2026 PC-CrossDiff: Point-Cluster Dual-Level Cross-Modal Differential Attention for Unified 3D Referring and Segmentation AAAI 2026 SpikingIR: A Novel Converted Spiking Neural Network for Efficient Image Restoration AAAI 2026 BeyondSparse: Facilitating Mamba to Enhance Cross-Domain 3D Semantic Segmentation in Adverse Weather AAAI 2026 Diffusion Once and Done: Degradation-Aware LoRA for All-in-One Image Restoration AAAI 2026 One-for-More: Continual Diffusion Model for Anomaly Detection CVPR 2025 MaskViM: Domain Generalized Semantic Segmentation with State Space Models AAAI 2025 Omni-Query Active Learning for Source-Free Domain Adaptive Cross-Modality 3D Semantic Segmentation AAAI 2025 Multi-Schema Proximity Network for Composed Image Retrieval ICCV 2025 Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning ICCV 2025 Large Continual Instruction Assistant ICML 2025 CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies IJCAI 2024 Prompt Gradient Projection for Continual Learning ICLR 2024 Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification NIPS 2024 UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior NIPS 2024 Cross-Modal Match for Language Conditioned 3D Object Grounding AAAI 2024 PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection CVPR 2024 Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception CVPR 2024 Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification ECCV 2024 Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation NIPS 2024 Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation AAAI 2024 AdaFormer: Efficient Transformer with Adaptive Token Sparsification for Image Super-resolution AAAI 2024 SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution AAAI 2024 Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection AAAI 2024 COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction CVPR 2024 Efficient Lightweight Image Denoising with Triple Attention Transformer AAAI 2024 CLIP-Guided Federated Learning on Heterogeneity and Long-Tailed Data AAAI 2024 Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution NIPS 2023 Weakly Supervised 3D Segmentation via Receptive-Driven Pseudo Label Consistency and Structural Consistency AAAI 2023 Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis CVPR 2023 Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference CVPR 2023 Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling CVPR 2023 Efficient Converted Spiking Neural Network for 3D and 2D Classification ICCV 2023 BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation ICCV 2023 Instance and Category Supervision are Alternate Learners for Continual Learning ICCV 2023 Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification ICCV 2023 VS-Boost: Boosting Visual-Semantic Association for Generalized Zero-Shot Learning IJCAI 2023 Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection AAAI 2022 En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning CVPR 2022 Uncertainty-Driven Dehazing Network AAAI 2022 Optimal Transport for Label-Efficient Visible-Infrared Person Re-identification ECCV 2022 Contrastive Learning for Compact Single Image Dehazing CVPR 2021 Learn from Concepts: Towards the Purified Memory for Few-shot Learning IJCAI 2021 Self-boosting for Feature Distillation IJCAI 2021 Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud AAAI 2021 Towards Compact Single Image Super-Resolution via Contrastive Self-distillation IJCAI 2021 Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds AAAI 2021 Omni-Supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning CVPR 2021 Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification CVPR 2021 Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation ICCV 2021 Distilling Image Dehazing With Heterogeneous Task Imitation CVPR 2020 LatticeNet: Towards Lightweight Image Super-resolution with Lattice Block ECCV 2020 Meta Segmentation Network for Ultra-Resolution Medical Images IJCAI 2020 Patch Proposal Network for Fast Semantic Segmentation of High-Resolution Images AAAI 2020 Enhanced Pix2pix Dehazing Network CVPR 2019