Xizhou Zhu

MMBench-GUI: A Unified Hierarchical Evaluation Framework for Multi-Platform GUI Agents CVPR 2026 CoMemo: LVLMs Need Image Context with Image Memory ICML 2025 Dita: Scaling Diffusion Transformer for Generalist Vision-Language-Action Policy ICCV 2025 HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding CVPR 2025 LangBridge: Interpreting Image as a Combination of Language Embeddings ICCV 2025 MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models ICLR 2025 Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training CVPR 2025 OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text ICLR 2025 PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models CVPR 2025 SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding CVPR 2025 V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding ICCV 2025 Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures ICLR 2025 ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process ICLR 2024 Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft CVPR 2024 ControlLLM: Augment Language Models with Tools by Searching on Graphs ECCV 2024 Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications CVPR 2024 InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks CVPR 2024 Learning 1D Causal Visual Representation with De-focus Attention Networks NeurIPS 2024 Needle In A Multimodal Haystack NeurIPS 2024 Parameter-Inverted Image Pyramid Networks NeurIPS 2024 The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World ICLR 2024 The All-Seeing Project V2: Towards General Relation Comprehension of the Open World ECCV 2024 VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks NeurIPS 2024 Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning NeurIPS 2024 BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision CVPR 2023 InternImage: Exploring Large-Scale Vision Foundation Models With Deformable Convolutions CVPR 2023 Planning-Oriented Autonomous Driving CVPR 2023 Siamese Image Modeling for Self-Supervised Vision Representation Learning CVPR 2023 Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information CVPR 2023 Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks CVPR 2023 VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks NeurIPS 2023 AutoLoss-Zero: Searching Loss Functions From Scratch for Generic Tasks CVPR 2022 DeciWatch: A Simple Baseline for 10× Efficient 2D and 3D Pose Estimation ECCV 2022 Exploring the Equivalence of Siamese Self-Supervised Learning via a Unified Gradient Framework CVPR 2022 Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs NeurIPS 2022 Uni-Perceiver: Pre-Training Unified Architecture for Generic Perception for Zero-Shot and Few-Shot Tasks CVPR 2022 VL-LTR: Learning Class-Wise Visual-Linguistic Representation for Long-Tailed Visual Recognition ECCV 2022 Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation ICLR 2021 Deformable DETR: Deformable Transformers for End-to-End Object Detection ICLR 2021 Searching Parameterized AP Loss for Object Detection NeurIPS 2021 Unsupervised Object Detection With LIDAR Clues CVPR 2021 Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation ICLR 2020 Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation ECCV 2020 VL-BERT: Pre-training of Generic Visual-Linguistic Representations ICLR 2020 An Empirical Study of Spatial Attention Mechanisms in Deep Networks ICCV 2019 Deformable ConvNets V2: More Deformable, Better Results CVPR 2019 Towards High Performance Video Object Detection CVPR 2018 Deep Feature Flow for Video Recognition CVPR 2017 Flow-Guided Feature Aggregation for Video Object Detection ICCV 2017