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Shifeng Zhang

38 papers · 2017–2025 · 8 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🌍 Conference Polyglot (8) 🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11)
🌈 Renaissance Researcher (7) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (8) 🤝 Dynamic Duo (11) 🏆 Grand Slam 🧬 Topic Evolution 🏆 Keyword Champion (6) 📈 Trend Setter 🗃️ Keyword Collector (176) 🚀 Conference Pioneer Prolific Year (11) 🔥 Unstoppable (9) 💎 Century Club (38)

Conferences

CVPR (14) AAAI (6) NIPS (6) ICCV (4) ICLR (4) IJCAI (2) ECCV (1) ICML (1)

Papers

Pamba: Enhancing Global Interaction in Point Clouds via State Space Model AAAI 2025 Generative Map Priors for Collaborative BEV Semantic Segmentation CVPR 2025 Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception ICLR 2025 TurboVSR: Fantastic Video Upscalers and Where to Find Them ICCV 2025 Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis ICCV 2025 Learning Shape-Independent Transformation via Spherical Representations for Category-Level Object Pose Estimation ICLR 2025 LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation ICCV 2025 Structure-Aware Correspondence Learning for Relative Pose Estimation CVPR 2025 VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection CVPR 2025 Rethinking Correspondence-based Category-Level Object Pose Estimation CVPR 2025 Revisiting Audio-Visual Segmentation with Vision-Centric Transformer CVPR 2025 Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation IJCAI 2024 Generating compositional scenes via Text-to-image RGBA Instance Generation NIPS 2024 Accelerating Diffusion Sampling with Optimized Time Steps CVPR 2024 MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation CVPR 2024 Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models NIPS 2023 SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models NIPS 2023 DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization AAAI 2023 PILC: Practical Image Lossless Compression With an End-to-End GPU Oriented Neural Framework CVPR 2022 Nonlinear ICA Using Volume-Preserving Transformations ICLR 2022 Memory Replay with Data Compression for Continual Learning ICLR 2022 Split Hierarchical Variational Compression CVPR 2022 iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression CVPR 2021 iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder NIPS 2021 OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression NIPS 2021 PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes AAAI 2020 Understanding and Exploring the Network with Stochastic Architectures NIPS 2020 Loss Function Search for Face Recognition ICML 2020 Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection CVPR 2020 Mis-Classified Vector Guided Softmax Loss for Face Recognition AAAI 2020 Relational Learning for Joint Head and Human Detection AAAI 2020 ScratchDet: Training Single-Shot Object Detectors From Scratch CVPR 2019 Selective Refinement Network for High Performance Face Detection AAAI 2019 A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing CVPR 2019 Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd ECCV 2018 Single-Shot Refinement Neural Network for Object Detection CVPR 2018 Ensemble Soft-Margin Softmax Loss for Image Classification IJCAI 2018 S3FD: Single Shot Scale-Invariant Face Detector ICCV 2017