PPaperPicks

Chunhua Shen

University of Adelaide, School of Computer Science, Adelaide, Australia

40 papers at tracked venues · 37 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models
  2. Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration
  3. ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks
  4. AETHER: Geometric-Aware Unified World Modeling
  5. Boltzmann-Aligned Inverse Folding Model as a Predictor of Mutational Effects on Protein-Protein Interactions
  6. DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks
  7. Depth Any Video with Scalable Synthetic Data
  8. Fine-Grained Abnormality Prompt Learning for Zero-Shot Anomaly Detection
  9. Framer: Interactive Frame Interpolation
  10. MovieBench: A Hierarchical Movie Level Dataset for Long Video Generation
  11. MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences
  12. Omni-R1: Reinforcement Learning for Omnimodal Reasoning via Two-System Collaboration
  13. POMATO: Marrying Pointmap Matching with Temporal Motions for Dynamic 3D Reconstruction
  14. PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training
  15. Physics Aware Neural Networks for Unsupervised Binding Energy Prediction
  16. Revisiting Convolution Architecture in the Realm of DNA Foundation Models
  17. SMStracker: Tri-Path Score Mask Sigma Fusion for Multi-Modal Tracking
  18. Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning
  19. SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories
  20. SurfaceSplat: Connecting Surface Reconstruction and Gaussian Splatting
  21. TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings
  22. Unified Open-World Segmentation with Multi-Modal Prompts
  23. What Matters When Repurposing Diffusion Models for General Dense Perception Tasks?
  24. A Simple Image Segmentation Framework via In-Context Examples
  25. De novo Protein Design Using Geometric Vector Field Networks
  26. DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data
  27. Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data
  28. Floating Anchor Diffusion Model for Multi-motif Scaffolding
  29. FreeCompose: Generic Zero-Shot Image Composition with Diffusion Prior
  30. FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition
  31. Generative Active Learning for Long-tailed Instance Segmentation
  32. LoRAPrune: Structured Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning
  33. Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
  34. Object-Aware Inversion and Reassembly for Image Editing
  35. On the Trajectory Regularity of ODE-based Diffusion Sampling
  36. PointAttN: You Only Need Attention for Point Cloud Completion
  37. Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning
  38. Traffic Scene Parsing Through the TSP6K Dataset
  39. Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation
  40. VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks