b'Hang Xu'

research

∙ 09/11/2023

HiLM-D: Towards High-Resolution Understanding in Multimodal Large Language Models for Autonomous Driving

Autonomous driving systems generally employ separate models for differen...

0 Xinpeng Ding, et al. ∙

research

∙ 08/31/2023

Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images

Generating 3D faces from textual descriptions has a multitude of applica...

0 Cuican Yu, et al. ∙

research

∙ 08/31/2023

Any-Size-Diffusion: Toward Efficient Text-Driven Synthesis for Any-Size HD Images

Stable diffusion, a generative model used in text-to-image synthesis, fr...

0 Qingping Zheng, et al. ∙

research

∙ 08/22/2023

GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training

Cross-modal pre-training has shown impressive performance on a wide rang...

0 Xinchi Deng, et al. ∙

research

∙ 08/22/2023

DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment

Cross-modal garment synthesis and manipulation will significantly benefi...

0 Xujie Zhang, et al. ∙

research

∙ 08/18/2023

DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability

Recently, large-scale diffusion models, e.g., Stable diffusion and DallE...

0 Runhui Huang, et al. ∙

research

∙ 08/09/2023

MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation

Recently, semantic segmentation models trained with image-level text sup...

0 Kaixin Cai, et al. ∙

research

∙ 08/08/2023

PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection

Recently, polar-based representation has shown promising properties in p...

0 Ming Nie, et al. ∙

research

∙ 07/31/2023

FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration

Multi-modality fusion and multi-task learning are becoming trendy in 3D ...

0 Zhijian Huang, et al. ∙

research

∙ 07/04/2023

SUIT: Learning Significance-guided Information for 3D Temporal Detection

3D object detection from LiDAR point cloud is of critical importance for...

0 Zheyuan Zhou, et al. ∙

research

∙ 06/17/2023

MO-VLN: A Multi-Task Benchmark for Open-set Zero-Shot Vision-and-Language Navigation

Given a natural language, a general robot has to comprehend the instruct...

0 Xiwen Liang, et al. ∙

research

∙ 05/31/2023

Boosting Text-to-Image Diffusion Models with Fine-Grained Semantic Rewards

Recent advances in text-to-image diffusion models have achieved remarkab...

0 Guian Fang, et al. ∙

research

∙ 05/23/2023

DetGPT: Detect What You Need via Reasoning

In recent years, the field of computer vision has seen significant advan...

0 Renjie Pi, et al. ∙

research

∙ 05/17/2023

Rethinking Boundary Discontinuity Problem for Oriented Object Detection

Oriented object detection has been developed rapidly in the past few yea...

0 Hang Xu, et al. ∙

research

∙ 05/09/2023

Boosting Visual-Language Models by Exploiting Hard Samples

Large vision and language models, such as Contrastive Language-Image Pre...

0 Haonan Wang, et al. ∙

research

∙ 04/26/2023

Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining

Medical artificial general intelligence (MAGI) enables one foundation mo...

17 Bingqian Lin, et al. ∙

research

∙ 04/24/2023

Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning

This paper investigates policy resilience to training-environment poison...

0 Hang Xu, et al. ∙

research

∙ 04/10/2023

DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment

This paper presents DetCLIPv2, an efficient and scalable training framew...

5 Lewei Yao, et al. ∙

research

∙ 03/30/2023

Mixed Autoencoder for Self-supervised Visual Representation Learning

Masked Autoencoder (MAE) has demonstrated superior performance on variou...

0 Kai Chen, et al. ∙

research

∙ 03/22/2023

CLIP^2: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data

Contrastive Language-Image Pre-training, benefiting from large-scale unl...

0 Yihan Zeng, et al. ∙

research

∙ 03/12/2023

Towards Universal Vision-language Omni-supervised Segmentation

Existing open-world universal segmentation approaches usually leverage C...

0 Bowen Dong, et al. ∙

research

∙ 03/04/2023

CapDet: Unifying Dense Captioning and Open-World Detection Pretraining

Benefiting from large-scale vision-language pre-training on image-text p...

0 Yanxin Long, et al. ∙

research

∙ 03/03/2023

Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving

Multi-task learning has emerged as a powerful paradigm to solve a range ...

0 Xiwen Liang, et al. ∙

research

∙ 02/22/2023

Entity-Level Text-Guided Image Manipulation

Existing text-guided image manipulation methods aim to modify the appear...

0 Yikai Wang, et al. ∙

research

∙ 12/14/2022

ConQueR: Query Contrast Voxel-DETR for 3D Object Detection

Although DETR-based 3D detectors can simplify the detection pipeline and...

0 Benjin Zhu, et al. ∙

research

∙ 12/14/2022

NLIP: Noise-robust Language-Image Pre-training

Large-scale cross-modal pre-training paradigms have recently shown ubiqu...

0 Runhui Huang, et al. ∙

research

∙ 12/02/2022

3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation

Text-guided 3D object generation aims to generate 3D objects described b...

0 Zutao Jiang, et al. ∙

research

∙ 10/31/2022

Generative Negative Text Replay for Continual Vision-Language Pretraining

Vision-language pre-training (VLP) has attracted increasing attention re...

0 Shipeng Yan, et al. ∙

research

∙ 09/20/2022

DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection

Open-world object detection, as a more general and challenging goal, aim...

7 Lewei Yao, et al. ∙

research

∙ 09/19/2022

Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving

Aiming towards a holistic understanding of multiple downstream tasks sim...

0 Xiwen Liang, et al. ∙

research

∙ 09/15/2022

Exploring Visual Interpretability for Contrastive Language-Image Pre-training

Contrastive Language-Image pre-training (CLIP) learns rich representatio...

18 Yi Li, et al. ∙

research

∙ 09/14/2022

DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction

Self-supervised depth learning from monocular images normally relies on ...

0 Kaichen Zhou, et al. ∙

research

∙ 07/19/2022

RCLane: Relay Chain Prediction for Lane Detection

Lane detection is an important component of many real-world autonomous s...

7 Shenghua Xu, et al. ∙

research

∙ 07/18/2022

Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding

To bridge the gap between supervised semantic segmentation and real-worl...

0 Quande Liu, et al. ∙

research

∙ 07/05/2022

Softmax-free Linear Transformers

Vision transformers (ViTs) have pushed the state-of-the-art for various ...

27 Jiachen Lu, et al. ∙

research

∙ 06/08/2022

Learning Ego 3D Representation as Ray Tracing

A self-driving perception model aims to extract 3D semantic representati...

17 Jiachen Lu, et al. ∙

research

∙ 06/08/2022

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous Driving

Unsupervised contrastive learning for indoor-scene point clouds has achi...

0 Runjian Chen, et al. ∙

research

∙ 05/26/2022

Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing

Self-supervised learning (SSL), especially contrastive methods, has rais...

0 Zhili Liu, et al. ∙

research

∙ 05/25/2022

ZeroGen^+: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning

Nowadays, owing to the superior capacity of the large pre-trained langua...

0 Jiahui Gao, et al. ∙

research

∙ 05/12/2022

MPPNet: Multi-Frame Feature Intertwining with Proxy Points for 3D Temporal Object Detection

Accurate and reliable 3D detection is vital for many applications includ...

5 Xuesong Chen, et al. ∙

research

∙ 05/06/2022

Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism

Continual learning is a challenging real-world problem for constructing ...

0 Binbin Yang, et al. ∙

research

∙ 04/30/2022

ONCE-3DLanes: Building Monocular 3D Lane Detection

We present ONCE-3DLanes, a real-world autonomous driving dataset with la...

10 Fan Yan, et al. ∙

research

∙ 04/12/2022

Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search

Neural Architecture Search (NAS) aims to find efficient models for multi...

0 Minbin Huang, et al. ∙

research

∙ 04/09/2022

ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation

Existing text-guided image manipulation methods aim to modify the appear...

0 Jianan Wang, et al. ∙

research

∙ 03/25/2022

Point2Seq: Detecting 3D Objects as Sequences

We present a simple and effective framework, named Point2Seq, for 3D obj...

0 Yujing Xue, et al. ∙

research

∙ 03/18/2022

Laneformer: Object-aware Row-Column Transformers for Lane Detection

We present Laneformer, a conceptually simple yet powerful transformer-ba...

0 Jianhua Han, et al. ∙

research

∙ 03/15/2022

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

Contemporary deep-learning object detection methods for autonomous drivi...

22 Kaican Li, et al. ∙

research

∙ 03/08/2022

Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration

Vision-language navigation (VLN) is a challenging task due to its large ...

0 Xiwen Liang, et al. ∙

research

∙ 02/17/2022

Revisiting Over-smoothing in BERT from the Perspective of Graph

Recently over-smoothing phenomenon of Transformer-based models is observ...

0 Han Shi, et al. ∙

research

∙ 02/16/2022

ZeroGen: Efficient Zero-shot Learning via Dataset Generation

There is a growing interest in dataset generation recently due to the su...

18 Jiacheng Ye, et al. ∙

Hang Xu

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