Xizhou Zhu
- Papers
- 39
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Authored papers
39VisualPRM: An Effective Process Reward Model for Multimodal Reasoning
arXiv 2025
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
arXiv 2025
ZeroGUI: Automating Online GUI Learning at Zero Human Cost
arXiv 2025
Visual Embodied Brain: Let Multimodal Large Language Models See, Think, and Control in Spaces
arXiv 2025
VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models
arXiv 2025
InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
arXiv 2025
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling
arXiv 2025
MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents
arXiv 2025
NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
arXiv 2025
Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models
arXiv 2025
CoMemo: LVLMs Need Image Context with Image Memory
arXiv 2025
Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy
ICCV 2025
Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding
arXiv 2025
UniFork: Exploring Modality Alignment for Unified Multimodal Understanding and Generation
arXiv 2025
Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures
arXiv 2024
Needle In A Multimodal Haystack
arXiv 2024
Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications
CVPR 2024 1
MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer
arXiv 2024
PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models
CVPR 2025 1
The All-Seeing Project V2: Towards General Relation Comprehension of the Open World
arXiv 2024
VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
arXiv 2024
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
arXiv 2024
TVR-Ranking: A Dataset for Ranked Video Moment Retrieval with Imprecise Queries
arXiv 2024
V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding
ICCV 2025
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning
arXiv 2024
MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity
arXiv 2024
VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
NeurIPS 2023 11
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
arXiv 2023
Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models
arXiv 2023
ControlLLM: Augment Language Models with Tools by Searching on Graphs
arXiv 2023
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving
arXiv 2023
ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
arXiv 2023
Planning-oriented Autonomous Driving
CVPR 2023 1
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
CVPR 2023 1
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
CVPR 2023 1
Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information
CVPR 2023 1
Demystify Transformers & Convolutions in Modern Image Deep Networks
arXiv 2022
Deformable DETR: Deformable Transformers for End-to-End Object Detection
deformable-detr-deformable-transformers-for
VL-BERT: Pre-training of Generic Visual-Linguistic Representations
ICLR 2020 1
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