Qibin Hou

TS-Attn: Temporal-wise Separable Attention for Multi-Event Video Generation

Trust but Verify: Adaptive Conditioning for Reference-Based Diffusion Super-Resolution via Implicit Reference Correlation Modeling

OmniSegmentor: A Flexible Multi-Modal Learning Framework for Semantic Segmentation

TempSamp-R1: Effective Temporal Sampling with Reinforcement Fine-Tuning for Video LLMs

SE-GUI: Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning

Multi-Task Dense Predictions via Unleashing the Power of Diffusion

MaskCLIP++: A Mask-Based CLIP Fine-tuning Framework for Open-Vocabulary Image Segmentation

Re-Aligning Language to Visual Objects with an Agentic Workflow

ClearSR: Latent Low-Resolution Image Embeddings Help Diffusion-Based Real-World Super Resolution Models See Clearer

AR-1-to-3: Single Image to Consistent 3D Object Generation via Next-View Prediction

KAC: Kolmogorov-Arnold Classifier for Continual Learning

Efficient Multi-Level Learning for Dense Object Detection