Hao Wu

28

Papers

171

Total Citations

Papers (28)

UCMCTrack: Multi-Object Tracking with Uniform Camera Motion Compensation

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting

DIBS: Enhancing Dense Video Captioning with Unlabeled Videos via Pseudo Boundary Enrichment and Online Refinement

LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images

StreamMind: Unlocking Full Frame Rate Streaming Video Dialogue through Event-Gated Cognition

Breaking the Discretization Barrier of Continuous Physics Simulation Learning

Spectral Learning of Dynamic Systems from Nonequilibrium Data

NeurIPS 2016arXiv

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum

Improved Approximations for Hard Graph Problems using Predictions

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations

Structured Multi-Hashing for Model Compression

Learning the Best Pooling Strategy for Visual Semantic Embedding

A Simple Framework for Text-Supervised Semantic Segmentation

Detecting 11K Classes: Large Scale Object Detection Without Fine-Grained Bounding Boxes

Contrastive Vision-Language Pre-training with Limited Resources

Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE

One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models

PriFold: Biological Priors Improve RNA Secondary Structure Predictions

FunEditor: Achieving Complex Image Edits via Function Aggregation with Diffusion Models

CoDe: Communication Delay-Tolerant Multi-Agent Collaboration via Dual Alignment of Intent and Timeliness

VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification

Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model

Deep Generative Markov State Models

Stochastic Normalizing Flows

A Variational Approach for Learning from Positive and Unlabeled Data

Nested Variational Inference

IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval