Tong He

78 papers · 2017–2025 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🏃 Academic Marathon (8) 🐝 Cross-Pollinator (12) 🗺️ Taxonomy Completionist (101) 🏠 Conference Loyalist (22) 🤝 Dynamic Duo (22) 👥 Mega-Team (20) 🏆 Grand Slam 🔬 Deep Specialist (13) 🚀 Conference Pioneer 🗃️ Keyword Collector (282) 💎 Century Club (78) 📈 Trend Setter 🔥 Unstoppable (9) ❓ The Questioner ⚡ Prolific Year (6)

Conferences

CVPR (22) NIPS (13) ICCV (12) ICLR (11) ECCV (9) AAAI (4) AISTATS (2) ICML (2) ACL (1) CORL (1) JMLR (1)

Top co-authors

Wanli Ouyang (22) Zheng Zhang (16) Tianjun Xiao (14) Di Huang (12) Chunhua Shen (12) Weicai Ye (8) Yanwei Fu (7) Stefano Soatto (6) Honghui Yang (6) Yu Qiao (6)

Research topics

Keywords

point cloud (10) self-supervised learning (9) semantic segmentation (7) 3d object detection (7) representation learning (6) autonomous driving (6) 3d vision (6) object detection (5) convolutional neural network (4) transfer learning (4) knowledge distillation (4) depth estimation (3) graph neural network (3) novel view synthesis (3) slot attention (3) generative model (3) attention mechanism (3) diffusion model (3) point cloud processing (3) amodal segmentation (3)

Papers

ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction ICLR 2025

Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction ICLR 2025

Common Learning Constraints Alter Interpretations of Direct Preference Optimization AISTATS 2025

Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation ICLR 2025

MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers ICLR 2025

ProAdvPrompter: A Two-Stage Journey to Effective Adversarial Prompting for LLMs ICLR 2025

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers ICCV 2025

Aether: Geometric-Aware Unified World Modeling ICCV 2025

EgoAgent: A Joint Predictive Agent Model in Egocentric Worlds ICCV 2025

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation CVPR 2025

Tra-MoE: Learning Trajectory Prediction Model from Multiple Domains for Adaptive Policy Conditioning CVPR 2025

GoalFlow: Goal-Driven Flow Matching for Multimodal Trajectories Generation in End-to-End Autonomous Driving CVPR 2025

Bridging Information Asymmetry in Text-video Retrieval: A Data-centric Approach ICLR 2025

SPA: 3D Spatial-Awareness Enables Effective Embodied Representation ICLR 2025

Depth Any Video with Scalable Synthetic Data ICLR 2025

Sparse Autoencoders, Again? ICML 2025

Explicit Preference Optimization: No Need for an Implicit Reward Model ICML 2025

GigaGS: 3D Gaussian Based Planar Representation for Large-Scene Surface Reconstruction AAAI 2025

CaMML: Context-Aware Multimodal Learner for Large Models ACL 2024

Unified Lexical Representation for Interpretable Visual-Language Alignment NIPS 2024

DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion NIPS 2024

One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos NIPS 2024

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation NIPS 2024

Rethinking The Training And Evaluation of Rich-Context Layout-to-Image Generation NIPS 2024

Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning NIPS 2024

NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction NIPS 2024

EMR-Merging: Tuning-Free High-Performance Model Merging NIPS 2024

Frozen CLIP Transformer Is an Efficient Point Cloud Encoder AAAI 2024

Boosting Residual Networks with Group Knowledge AAAI 2024

Graph Machine Learning through the Lens of Bilevel Optimization AISTATS 2024

Adaptive Slot Attention: Object Discovery with Dynamic Slot Number CVPR 2024

TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation CVPR 2024

UniPAD: A Universal Pre-training Paradigm for Autonomous Driving CVPR 2024

DreamComposer: Controllable 3D Object Generation via Multi-View Conditions CVPR 2024

Point Transformer V3: Simpler Faster Stronger CVPR 2024

Learning for Transductive Threshold Calibration in Open-World Recognition CVPR 2024

GVGEN: Text-to-3D Generation with Volumetric Representation ECCV 2024

Agent3D-Zero: An Agent for Zero-shot 3D Understanding ECCV 2024

Pixel-GS Density Control with Pixel-aware Gradient for 3D Gaussian Splatting ECCV 2024

DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM ECCV 2024

PredBench: Benchmarking Spatio-Temporal Prediction across Diverse Disciplines ECCV 2024

Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model ICLR 2024

Consistent Video-to-Video Transfer Using Synthetic Dataset ICLR 2024

PVT-SSD: Single-Stage 3D Object Detector With Point-Voxel Transformer CVPR 2023

Bridging the Gap to Real-World Object-Centric Learning ICLR 2023

GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds CVPR 2023

Ponder: Point Cloud Pre-training via Neural Rendering ICCV 2023

Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation ICCV 2023

Object-Centric Multiple Object Tracking ICCV 2023

Unsupervised Open-Vocabulary Object Localization in Videos ICCV 2023

Coarse-to-Fine Amodal Segmentation with Shape Prior ICCV 2023

Crossing the Gap: Domain Generalization for Image Captioning CVPR 2023

MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling With Informative-Preserved Reconstruction and Self-Distilled Consistency CVPR 2023

Learning Manifold Dimensions with Conditional Variational Autoencoders NIPS 2022

Self-supervised Amodal Video Object Segmentation NIPS 2022

PSS: Progressive Sample Selection for Open-World Visual Representation Learning ECCV 2022

PointInst3D: Segmenting 3D Instances by Points ECCV 2022

GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction NIPS 2021

Progressive Coordinate Transforms for Monocular 3D Object Detection NIPS 2021

HCRF-Flow: Scene Flow From Point Clouds With Continuous High-Order CRFs and Position-Aware Flow Embedding CVPR 2021

Learning Hierarchical Graph Neural Networks for Image Clustering ICCV 2021

ARCH++: Animation-Ready Clothed Human Reconstruction Revisited ICCV 2021

DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution CVPR 2021

ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network CVPR 2020

Instance-Aware Embedding for Point Cloud Instance Segmentation ECCV 2020

SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning CORL 2020

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing JMLR 2020

Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction NIPS 2020

Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation ECCV 2020

FCOS: Fully Convolutional One-Stage Object Detection ICCV 2019

Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation CVPR 2019

GeoNet: Deep Geodesic Networks for Point Cloud Analysis CVPR 2019

Knowledge Adaptation for Efficient Semantic Segmentation CVPR 2019

Bag of Tricks for Image Classification with Convolutional Neural Networks CVPR 2019

Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors AAAI 2019

GIF2Video: Color Dequantization and Temporal Interpolation of GIF Images CVPR 2019

An End-to-End TextSpotter With Explicit Alignment and Attention CVPR 2018

Single Shot Text Detector With Regional Attention ICCV 2017