Xizhou Zhu

According to our database¹, Xizhou Zhu authored at least 64 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance.

[BibT_eX]

[DOI]

CoRR, 2024

Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training.

[BibT_eX]

[DOI]

CoRR, 2024

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity.

[BibT_eX]

[DOI]

CoRR, 2024

TVR-Ranking: A Dataset for Ranked Video Moment Retrieval with Imprecise Queries.

[BibT_eX]

[DOI]

CoRR, 2024

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text.

[BibT_eX]

[DOI]

CoRR, 2024

VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks.

[BibT_eX]

[DOI]

CoRR, 2024

Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Needle In A Multimodal Haystack.

[BibT_eX]

[DOI]

CoRR, 2024

Learning 1D Causal Visual Representation with De-focus Attention Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Parameter-Inverted Image Pyramid Networks.

[BibT_eX]

[DOI]

CoRR, 2024

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

[BibT_eX]

[DOI]

CoRR, 2024

Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures.

[BibT_eX]

[DOI]

CoRR, 2024

MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization.

[BibT_eX]

[DOI]

CoRR, 2024

The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

The All-Seeing Project V2: Towards General Relation Comprehension of the Open World.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

ControlLLM: Augment Language Models with Tools by Searching on Graphs.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Efficient Deformable ConvNets: Rethinking Dynamic and Sparse Operator for Vision Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

ControlLLM: Augment Language Models with Tools by Searching on Graphs.

[BibT_eX]

[DOI]

CoRR, 2023

Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.

[BibT_eX]

[DOI]

CoRR, 2023

InternGPT: Solving Vision-Centric Tasks by Interacting with Chatbots Beyond Language.

[BibT_eX]

[DOI]

CoRR, 2023

VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Siamese Image Modeling for Self-Supervised Vision Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Planning-oriented Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Goal-oriented Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2022

Demystify Transformers & Convolutions in Modern Image Deep Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe.

[BibT_eX]

[DOI]

CoRR, 2022

Siamese Image Modeling for Self-Supervised Vision Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation.

[BibT_eX]

[DOI]

CoRR, 2022

Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DeciWatch: A Simple Baseline for 10˟ Efficient 2D and 3D Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks.

[BibT_eX]

[DOI]

CoRR, 2021

VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

CoRR, 2021

Collaborative Visual Navigation.

[BibT_eX]

[DOI]

CoRR, 2021

Searching Parameterized AP Loss for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Unsupervised Object Detection With LIDAR Clues.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

VL-BERT: Pre-training of Generic Visual-Linguistic Representations.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Deformable Kernels: Adapting Effective Receptive Fields for Object Deformation.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

An Empirical Study of Spatial Attention Mechanisms in Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deformable ConvNets V2: More Deformable, Better Results.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Integrated Object Detection and Tracking with Tracklet-Conditioned Detection.

[BibT_eX]

[DOI]

CoRR, 2018

Towards High Performance Video Object Detection for Mobiles.

[BibT_eX]

[DOI]

CoRR, 2018

Towards High Performance Video Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Flow-Guided Feature Aggregation for Video Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Deep Feature Flow for Video Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

An Uncertainty-Aware Approach for Exploratory Microblog Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2016

Xizhou Zhu

Timeline

Legend:

Links

On csauthors.net:

Bibliography

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