Renrui Zhang
69 papers · 2021–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Deep Learning
(42)
Artificial Intelligence
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Machine Learning
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Core AI
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Computer Vision
(29)
Learning Types Β· Deep Learning
(26)
Learning Types Β· Machine Learning
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Keywords
point cloud
(12)
multimodal learning
(10)
multimodal large language model
(7)
large language model
(7)
3d vision
(6)
zero-shot learning
(6)
masked autoencoder
(6)
domain adaptation
(6)
foundation model
(6)
instruction tuning
(5)
contrastive learning
(5)
large multimodal model
(5)
vision-language model
(5)
self-supervised learning
(5)
few-shot learning
(5)
3d object detection
(4)
diffusion transformer
(4)
parameter-efficient fine-tuning
(4)
chain-of-thought reasoning
(4)
robotic manipulation
(4)
Papers
From Manuals to Actions: A Unified VLA Model for Chain-of-Thought Manual Generation and Robotic Manipulation
CVPR 2026
Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following
CVPR 2026
NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework
AAAI 2026
PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models
WACV 2026
Thinking-while-Generating: Interleaving Textual Reasoning throughout Visual Generation
CVPR 2026
TIDE: Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation
AAAI 2026
VCU-Bridge: Hierarchical Visual Connotation Understanding via Semantic Bridging
CVPR 2026
3DS-VLA: A 3D Spatial-Aware Vision Language Action Model for Robust Multi-Task Manipulation
CoRL 2025
Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs
ICCV 2025
Chimera: Improving Generalist Model with Domain-Specific Experts
ICCV 2025
Detect Anything 3D in the Wild
ICCV 2025
From Reflection to Perfection: Scaling Inference-Time Optimization for Text-to-Image Diffusion Models via Reflection Tuning
ICCV 2025
Let's Verify and Reinforce Image Generation Step by Step
CVPR 2025
LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding
AAAI 2025
Lift3D Policy: Lifting 2D Foundation Models for Robust 3D Robotic Manipulation
CVPR 2025
LLaVA-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
ICLR 2025
Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation
ICLR 2025
MAVIS: Mathematical Visual Instruction Tuning with an Automatic Data Engine
ICLR 2025
MME-CoT: Benchmarking Chain-of-Thought in Large Multimodal Models for Reasoning Quality, Robustness, and Efficiency
ICML 2025
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding
AAAI 2025
MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines
ICLR 2025
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language Instructions
ICLR 2025
SciVerse: Unveiling the Knowledge Comprehension and Visual Reasoning of LMMs on Multi-modal Scientific Problems
ACL 2025
TAR3D: Creating High-Quality 3D Assets via Next-Part Prediction
ICCV 2025
Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis
CVPR 2025
Cloud-Device Collaborative Learning for Multimodal Large Language Models
CVPR 2024
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
NeurIPS 2024
Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation
CVPR 2024
FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection
AAAI 2024
Gradient-based Parameter Selection for Efficient Fine-Tuning
CVPR 2024
LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention
ICLR 2024
ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation
CVPR 2024
MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning
ICLR 2024
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
ECCV 2024
MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI
ICML 2024
No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation
CVPR 2024
NTO3D: Neural Target Object 3D Reconstruction with Segment Anything
CVPR 2024
OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning
CVPR 2024
PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentation
ECCV 2024
Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency
AAAI 2024
Personalize Segment Anything Model with One Shot
ICLR 2024
Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation
AAAI 2024
RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation
NeurIPS 2024
"SPHINX: A Mixer of Weights, Visual Embeddings and Image Scales for Multi-modal Large Language Models"
ECCV 2024
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
ICML 2024
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
ICML 2024
Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models
EMNLP 2024
ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
ICLR 2024
CALIP: Zero-Shot Enhancement of CLIP with Parameter-Free Attention
AAAI 2023
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation
AAAI 2023
EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding
CVPR 2023
iQuery: Instruments As Queries for Audio-Visual Sound Separation
CVPR 2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training
IJCAI 2023
JourneyDB: A Benchmark for Generative Image Understanding
NeurIPS 2023
Learning 3D Representations From 2D Pre-Trained Models via Image-to-Point Masked Autoencoders
CVPR 2023
MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection
ICCV 2023
Nearest Neighbors Meet Deep Neural Networks for Point Cloud Analysis
WACV 2023
Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement
ICCV 2023
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
CVPR 2023
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning
ICCV 2023
Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners
CVPR 2023
SparseMAE: Sparse Training Meets Masked Autoencoders
ICCV 2023
Starting From Non-Parametric Networks for 3D Point Cloud Analysis
CVPR 2023
Exploring Resolution and Degradation Clues As Self-Supervised Signal for Low Quality Object Detection
ECCV 2022
Frozen CLIP Models Are Efficient Video Learners
ECCV 2022
PointCLIP: Point Cloud Understanding by CLIP
CVPR 2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
NeurIPS 2022
Tip-Adapter: Training-Free Adaption of CLIP for Few-Shot Classification
ECCV 2022
Dual-stream Network for Visual Recognition
NeurIPS 2021