Search Results for author: Lewei Lu

Found 31 papers, 22 papers with code

Masked AutoDecoder is Effective Multi-Task Vision Generalist

1 code implementation12 Mar 2024 Han Qiu, Jiaxing Huang, Peng Gao, Lewei Lu, Xiaoqin Zhang, Shijian Lu

Inspired by the success of general-purpose models in NLP, recent studies attempt to unify different vision tasks in the same sequence format and employ autoregressive Transformers for sequence prediction.

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

1 code implementation4 Mar 2024 Yuchen Duan, Weiyun Wang, Zhe Chen, Xizhou Zhu, Lewei Lu, Tong Lu, Yu Qiao, Hongsheng Li, Jifeng Dai, Wenhai Wang

Our evaluations demonstrate that VRWKV surpasses ViT's performance in image classification and has significantly faster speeds and lower memory usage processing high-resolution inputs.

Image Classification

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

1 code implementation29 Feb 2024 Weiyun Wang, Yiming Ren, Haowen Luo, Tiantong Li, Chenxiang Yan, Zhe Chen, Wenhai Wang, Qingyun Li, Lewei Lu, Xizhou Zhu, Yu Qiao, Jifeng Dai

In addition, we design a new benchmark, termed Circular-based Relation Probing Evaluation (CRPE) for comprehensively evaluating the relation comprehension capabilities of MLLMs.

Hallucination Object Localization +3

Weakly Supervised Monocular 3D Detection with a Single-View Image

no code implementations29 Feb 2024 Xueying Jiang, Sheng Jin, Lewei Lu, Xiaoqin Zhang, Shijian Lu

We propose SKD-WM3D, a weakly supervised monocular 3D detection framework that exploits depth information to achieve M3D with a single-view image exclusively without any 3D annotations or other training data.

Object Localization Self-Knowledge Distillation +1

LLMs Meet VLMs: Boost Open Vocabulary Object Detection with Fine-grained Descriptors

no code implementations7 Feb 2024 Sheng Jin, Xueying Jiang, Jiaxing Huang, Lewei Lu, Shijian Lu

This paper presents DVDet, a Descriptor-Enhanced Open Vocabulary Detector that introduces conditional context prompts and hierarchical textual descriptors that enable precise region-text alignment as well as open-vocabulary detection training in general.

Image Classification object-detection +1

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

no code implementations16 Jan 2024 Chongzhi Zhang, Mingyuan Zhang, Zhiyang Teng, Jiayi Li, Xizhou Zhu, Lewei Lu, Ziwei Liu, Aixin Sun

Our method involves the direct generation of a global 2D temporal map via a conditional denoising diffusion process, based on the input video and language query.

Decoder Denoising +1

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

1 code implementation11 Jan 2024 Yuwen Xiong, Zhiqi Li, Yuntao Chen, Feng Wang, Xizhou Zhu, Jiapeng Luo, Wenhai Wang, Tong Lu, Hongsheng Li, Yu Qiao, Lewei Lu, Jie zhou, Jifeng Dai

The advancements in speed and efficiency of DCNv4, combined with its robust performance across diverse vision tasks, show its potential as a foundational building block for future vision models.

Image Classification Image Generation +1

Learning to Prompt Segment Anything Models

no code implementations9 Jan 2024 Jiaxing Huang, Kai Jiang, Jingyi Zhang, Han Qiu, Lewei Lu, Shijian Lu, Eric Xing

SAMs work with two types of prompts including spatial prompts (e. g., points) and semantic prompts (e. g., texts), which work together to prompt SAMs to segment anything on downstream datasets.

Image Segmentation Segmentation +1

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

2 code implementations21 Dec 2023 Zhe Chen, Jiannan Wu, Wenhai Wang, Weijie Su, Guo Chen, Sen Xing, Muyan Zhong, Qinglong Zhang, Xizhou Zhu, Lewei Lu, Bin Li, Ping Luo, Tong Lu, Yu Qiao, Jifeng Dai

However, the progress in vision and vision-language foundation models, which are also critical elements of multi-modal AGI, has not kept pace with LLMs.

 Ranked #1 on Zero-Shot Video Retrieval on MSR-VTT-full (using extra training data)

Image Retrieval Image-to-Text Retrieval +11

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

no code implementations14 Dec 2023 Hao Li, Xue Yang, Zhaokai Wang, Xizhou Zhu, Jie zhou, Yu Qiao, Xiaogang Wang, Hongsheng Li, Lewei Lu, Jifeng Dai

Many reinforcement learning environments (e. g., Minecraft) provide only sparse rewards that indicate task completion or failure with binary values.


ControlLLM: Augment Language Models with Tools by Searching on Graphs

1 code implementation26 Oct 2023 Zhaoyang Liu, Zeqiang Lai, Zhangwei Gao, Erfei Cui, Ziheng Li, Xizhou Zhu, Lewei Lu, Qifeng Chen, Yu Qiao, Jifeng Dai, Wenhai Wang

We present ControlLLM, a novel framework that enables large language models (LLMs) to utilize multi-modal tools for solving complex real-world tasks.


3D Data Augmentation for Driving Scenes on Camera

no code implementations18 Mar 2023 Wenwen Tong, Jiangwei Xie, Tianyu Li, Hanming Deng, Xiangwei Geng, Ruoyi Zhou, Dingchen Yang, Bo Dai, Lewei Lu, Hongyang Li

The proposed data augmentation approach contributes to a gain of 1. 7% and 1. 4% in terms of detection accuracy, on Waymo and nuScences respectively.

Autonomous Driving Data Augmentation +1

Modeling Continuous Motion for 3D Point Cloud Object Tracking

no code implementations14 Mar 2023 Zhipeng Luo, Gongjie Zhang, Changqing Zhou, Zhonghua Wu, Qingyi Tao, Lewei Lu, Shijian Lu

The task of 3D single object tracking (SOT) with LiDAR point clouds is crucial for various applications, such as autonomous driving and robotics.

3D Single Object Tracking Autonomous Driving +2

Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection

no code implementations CVPR 2023 Jia Zeng, Li Chen, Hanming Deng, Lewei Lu, Junchi Yan, Yu Qiao, Hongyang Li

Specifically, a set of queries are leveraged to locate the instance-level areas for masked feature generation, to intensify feature representation ability in these areas.

3D Object Detection Knowledge Distillation +2

Planning-oriented Autonomous Driving

1 code implementation CVPR 2023 Yihan Hu, Jiazhi Yang, Li Chen, Keyu Li, Chonghao Sima, Xizhou Zhu, Siqi Chai, Senyao Du, Tianwei Lin, Wenhai Wang, Lewei Lu, Xiaosong Jia, Qiang Liu, Jifeng Dai, Yu Qiao, Hongyang Li

Oriented at this, we revisit the key components within perception and prediction, and prioritize the tasks such that all these tasks contribute to planning.

Autonomous Driving Philosophy

Towards All-in-one Pre-training via Maximizing Multi-modal Mutual Information

1 code implementation CVPR 2023 Weijie Su, Xizhou Zhu, Chenxin Tao, Lewei Lu, Bin Li, Gao Huang, Yu Qiao, Xiaogang Wang, Jie zhou, Jifeng Dai

It has been proved that combining multiple pre-training strategies and data from various modalities/sources can greatly boost the training of large-scale models.

Ranked #2 on Semantic Segmentation on ADE20K (using extra training data)

Image Classification Long-tailed Object Detection +3

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

2 code implementations CVPR 2023 Wenhai Wang, Jifeng Dai, Zhe Chen, Zhenhang Huang, Zhiqi Li, Xizhou Zhu, Xiaowei Hu, Tong Lu, Lewei Lu, Hongsheng Li, Xiaogang Wang, Yu Qiao

Compared to the great progress of large-scale vision transformers (ViTs) in recent years, large-scale models based on convolutional neural networks (CNNs) are still in an early state.

 Ranked #1 on Instance Segmentation on COCO test-dev (AP50 metric, using extra training data)

Classification Image Classification +3

Demystify Transformers & Convolutions in Modern Image Deep Networks

1 code implementation10 Nov 2022 Xiaowei Hu, Min Shi, Weiyun Wang, Sitong Wu, Linjie Xing, Wenhai Wang, Xizhou Zhu, Lewei Lu, Jie zhou, Xiaogang Wang, Yu Qiao, Jifeng Dai

Our experiments on various tasks and an analysis of inductive bias show a significant performance boost due to advanced network-level and block-level designs, but performance differences persist among different STMs.

Image Deep Networks Spatial Token Mixer

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

2 code implementations12 Sep 2022 Hongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Jia Zeng, Zhiqi Li, Jiazhi Yang, Hanming Deng, Hao Tian, Enze Xie, Jiangwei Xie, Li Chen, Tianyu Li, Yang Li, Yulu Gao, Xiaosong Jia, Si Liu, Jianping Shi, Dahua Lin, Yu Qiao

As sensor configurations get more complex, integrating multi-source information from different sensors and representing features in a unified view come of vital importance.

Autonomous Driving

Decoupled Spatial-Temporal Transformer for Video Inpainting

1 code implementation14 Apr 2021 Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li

Seamless combination of these two novel designs forms a better spatial-temporal attention scheme and our proposed model achieves better performance than state-of-the-art video inpainting approaches with significant boosted efficiency.

Video Inpainting

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

17 code implementations ICLR 2021 Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai

DETR has been recently proposed to eliminate the need for many hand-designed components in object detection while demonstrating good performance.

Real-Time Object Detection

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