PPaperPicks

Yonghong Tian

Peking University, Beijing, School of Electronics Engineering and Computer Science, National Engineering Laboratory for Video Technology, China

44 papers at tracked venues · 42 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AscendKernelGen: LLM-Driven Kernel Generation for NPUs
  2. BioProAgent: Neuro-Symbolic Grounding for Constrained Scientific Planning
  3. Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning
  4. Parallel Training Time-to-First-Spike Spiking Neural Networks
  5. Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models
  6. ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics
  7. Spikingformer: A Key Foundation Model for Spiking Neural Networks
  8. AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes
  9. ALLGCD: Leveraging All Unlabeled Data for Generalized Category Discovery
  10. Asynchronous Collaborative Graph Representation for Frames and Events
  11. Beyond Chemical QA: Evaluating LLM's Chemical Reasoning with Modular Chemical Operations
  12. DSF-Net: Dynamic Sparse Fusion of Event-RGB via Spike-Triggered Attention for High-Speed Detection
  13. E-4DGS: High-Fidelity Dynamic Reconstruction from the Multi-view Event Cameras
  14. ESOD: Event-Based Small Object Detection
  15. Efficient Event Camera Data Pretraining with Adaptive Prompt Fusion
  16. Evagaussians: Event Stream Assisted Gaussian Splatting from Blurry Images
  17. From Objects to Events: Unlocking Complex Visual Understanding in Object Detectors Via LLM-guided Symbolic Reasoning
  18. GS2E: Gaussian Splatting is an Effective Data Generator for Event Stream Generation
  19. HoloTime: Taming Video Diffusion Models for Panoramic 4D Scene Generation
  20. Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body
  21. Multimodal Quantitative Language for Generative Recommendation
  22. Multiplication-Free Parallelizable Spiking Neurons with Efficient Spatio-Temporal Dynamics
  23. Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset
  24. PiCO: Peer Review in LLMs based on Consistency Optimization
  25. RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing
  26. Self-Supervised Learning for Color Spike Camera Reconstruction
  27. Spike4DGS: Towards High-Speed Dynamic Scene Rendering with 4D Gaussian Splatting via a Spike Camera Array
  28. Time-Evolving Dynamical System for Learning Latent Representations of Mouse Visual Neural Activity
  29. VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning
  30. Visual Reinforcement Learning with Residual Action
  31. When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network
  32. Adaptive Discovering and Merging for Incremental Novel Class Discovery
  33. DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning
  34. Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion
  35. Event Stream-Based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
  36. Event-Based Visible and Infrared Fusion via Multi-Task Collaboration
  37. HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
  38. HiFi-123: Towards High-Fidelity One Image to 3D Content Generation
  39. High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost
  40. Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli
  41. QKFormer: Hierarchical Spiking Transformer using Q-K Attention
  42. Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL
  43. Solving the Catastrophic Forgetting Problem in Generalized Category Discovery
  44. Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips