Qingming Huang

Test-Time Scaling via Metric Geometry for LLM Reasoning

PTNET: A PROPOSAL-CENTRIC TRANSFORMER NET- WORK FOR 3D OBJECT DETECTION

Adaptive Nonlinear Compression for Large Foundation Models

Difference-aware Visiolinguistic Regularization for Image Change Captioning

Pre-training Pure GNNs as Graph Learners

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $\alpha$-$\beta$-Divergence

Exploring Structural Degradation in Dense Representations for Self-supervised Learning

Enhancing Pre-trained Representation Classifiability can Boost its Interpretability

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning

Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain

LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders

Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs

Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification

VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set

Relieving the Over-Aggregating Effect in Graph Transformers

Generalizing Single-Frame Supervision to Event-Level Understanding for Video Anomaly Detection

MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges

One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework

Video Anomaly Detection via Single Frame Supervision