Tiejun Huang

SpikePingpong: Spike Vision-based Fast-Slow Pingpong Robot System

PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks

SpikeGen: Decoupled “Rods and Cones” Visual Representation Processing with Latent Generative Framework

SpikeStereoNet: A Brain-Inspired Framework for Stereo Depth Estimation from Spike Streams

SPKLIP: Aligning Spike Video Streams with Natural Language

$\mathbf{T^2HTR}$: $T$est-$t$ime $H$ierarchical $T$emporal $R$etrieval for Long Video Understanding

Spike-driven Large Language Model

Robobench: A Comprehensive Evaluation Benchmark For Multimodal Large Language Models as Embodied Brain

SpikeGrasp: A Benchmark for 6-DoF Grasp Pose Detection from Stereo Spike Streams

Exploring Reprensentation Invariance in Finetuning

RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics

Orochi: Versatile Biomedical Image Processor

Faster and Stronger: When ANN-SNN Conversion Meets Parallel Spiking Calculation

Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment

High Dynamic Range Imaging with Time-Encoding Spike Camera

Differential Coding for Training-Free ANN-to-SNN Conversion

SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model's Parameter-Efficient Fine-Tuning

M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

Comprehensive Online Training and Deployment for Spiking Neural Networks

Discovering Long-Term Effects on Parameter Efficient Fine-tuning

GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation

CopyLens: Dynamically Flagging Copyrighted Sub-Dataset Contributions to LLM Outputs