Yixuan Li

39

Papers

90

Total Citations

Papers (39)

Move to Understand a 3D Scene: Bridging Visual Grounding and Exploration for Efficient and Versatile Embodied Navigation

How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?

DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation

How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence

PostEdit: Posterior Sampling for Efficient Zero-Shot Image Editing

Multi-identity Human Image Animation with Structural Video Diffusion

ObjectGS: Object-aware Scene Reconstruction and Scene Understanding via Gaussian Splatting

Visual Instruction Bottleneck Tuning

MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space

Unknown-Aware Object Detection: Learning What You Don't Know From Videos in the Wild

Rethinking Domain Generalization for Face Anti-Spoofing: Separability and Alignment

3D-Aware Face Swapping

MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions

MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond

BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View Images

Actions as Moving Points

DICE: Leveraging Sparsification for Out-of-Distribution Detection

Frequency Domain Image Translation: More Photo-Realistic, Better Identity-Preserving

AI-generated Image Quality Assessment in Visual Communication

Online Prompt Selection for Program Synthesis

Fast and Interpretable Mixed-Integer Linear Program Solving by Learning Model Reduction

Targeted Representation Alignment for Open-World Semi-Supervised Learning

Stacked Generative Adversarial Networks

Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search

MOOD: Multi-Level Out-of-Distribution Detection

Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning

Energy-based Out-of-distribution Detection

ReAct: Out-of-distribution Detection With Rectified Activations

On the Importance of Gradients for Detecting Distributional Shifts in the Wild

Can multi-label classification networks know what they don’t know?

SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning

SIREN: Shaping Representations for Detecting Out-of-Distribution Objects

OpenOOD: Benchmarking Generalized Out-of-Distribution Detection

Delving into Out-of-Distribution Detection with Vision-Language Representations

Is Out-of-Distribution Detection Learnable?

A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning

Dream the Impossible: Outlier Imagination with Diffusion Models

Learning to Augment Distributions for Out-of-distribution Detection

Understanding the Loss Surface of Neural Networks for Binary Classification