conftrace_

Xuejin Chen

17 papers · 2019–2025 · 8 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+9 more ↓ 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (6)
🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (39) πŸŒ‰ Interdisciplinary Bridge πŸ‘‘ Triple Crown πŸ† Grand Slam ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (92) πŸ’Ž Century Club (17)

Conferences

CVPR (4) AAAI (3) ICCV (3) ICLR (2) NIPS (2) ICML (1) IJCAI (1) MICCAI (1)

Papers

ResGS: Residual Densification of 3D Gaussian for Efficient Detail Recovery ICCV 2025 Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel MICCAI 2025 Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing AAAI 2024 Cross-Dimension Affinity Distillation for 3D EM Neuron Segmentation CVPR 2024 Slot-VLM: Object-Event Slots for Video-Language Modeling NIPS 2024 Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation CVPR 2024 MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field ICLR 2024 UC-NERF: Neural Radiance Field for Under-Calibrated Multi-View Cameras in Autonomous Driving ICLR 2024 GaussianPro: 3D Gaussian Splatting with Progressive Propagation ICML 2024 DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects ICCV 2023 Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation ICCV 2023 Paint by Example: Exemplar-Based Image Editing With Diffusion Models CVPR 2023 Dual Progressive Prototype Network for Generalized Zero-Shot Learning NIPS 2021 Task-Independent Knowledge Makes for Transferable Representations for Generalized Zero-Shot Learning AAAI 2021 S2R-DepthNet: Learning a Generalizable Depth-Specific Structural Representation CVPR 2021 Structure-Aware Residual Pyramid Network for Monocular Depth Estimation IJCAI 2019 A Two-Stream Mutual Attention Network for Semi-Supervised Biomedical Segmentation with Noisy Labels AAAI 2019