353 citations · 791 across the 25 of their papers we have counts for
22 papers · 1 filter
Na-IRSTD: Enhancing Infrared Small Target Detection via Native-Resolution Feature Selection and Fusion
Qian Xu, Chi Zhang, Qiming Zhang +3
Infrared small target detection (IRSTD) faces the inherent challenge of precisely localizing dim targets amid complex background clutter. While progress has been made, existing met…
Omni-I2C: A Holistic Benchmark for High-Fidelity Image-to-Code Generation
Jiawei Zhou, Chi Zhang, Xiang Feng +6
We present Omni-I2C, a comprehensive benchmark designed to evaluate the capability of Large Multimodal Models (LMMs) in converting complex, structured digital graphics into executa…
Perceptual-Evidence Anchored Reinforced Learning for Multimodal Reasoning
Chi Zhang, Haibo Qiu, Qiming Zhang +6
Reinforcement Learning with Verifiable Rewards (RLVR) has significantly advanced the reasoning capabilities of Large Language Models (LLMs) and is now being applied to Vision-Langu…
DeepSketcher: Internalizing Visual Manipulation for Multimodal Reasoning
Chi Zhang, Haibo Qiu, Qiming Zhang +3
The "thinking with images" paradigm represents a pivotal shift in the reasoning of Vision Language Models (VLMs), moving from text-dominant chain-of-thought to image-interactive re…
InstructVEdit: A Holistic Approach for Instructional Video Editing
Chi Zhang, Chengjian Feng, Feng Yan +5
Video editing according to instructions is a highly challenging task due to the difficulty in collecting large-scale, high-quality edited video pair data. This scarcity not only li…
Unleashing the Power of Generic Segmentation Models: A Simple Baseline for Infrared Small Target Detection
Mingjin Zhang, Chi Zhang, Qiming Zhang +3
Recent advancements in deep learning have greatly advanced the field of infrared small object detection (IRSTD). Despite their remarkable success, a notable gap persists between th…
LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation
Wentao Jiang, Jing Zhang, Di Wang +3
Due to spatial redundancy in remote sensing images, sparse tokens containing rich information are usually involved in self-attention (SA) to reduce the overall token numbers within…
ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution
Mingjin Zhang, Chi Zhang, Qiming Zhang +3
Single hyperspectral image super-resolution (single-HSI-SR) aims to restore a high-resolution hyperspectral image from a low-resolution observation. However, the prevailing CNN-bas…
Vision Transformer with Quadrangle Attention
Qiming Zhang, Jing Zhang, Yufei Xu +1
Window-based attention has become a popular choice in vision transformers due to its superior performance, lower computational complexity, and less memory footprint. However, the d…
SimDistill: Simulated Multi-modal Distillation for BEV 3D Object Detection
Haimei Zhao, Qiming Zhang, Shanshan Zhao +3
Multi-view camera-based 3D object detection has become popular due to its low cost, but accurately inferring 3D geometry solely from camera data remains challenging and may lead to…
ViTPose++: Vision Transformer for Generic Body Pose Estimation
Yufei Xu, Jing Zhang, Qiming Zhang +1
In this paper, we show the surprisingly good properties of plain vision transformers for body pose estimation from various aspects, namely simplicity in model structure, scalabilit…
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
Benjamin Kiefer, Matej Kristan, Janez Perš +70
The 1 Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and…
Rethinking Hierarchies in Pre-trained Plain Vision Transformer
Yufei Xu, Jing Zhang, Qiming Zhang +1
Self-supervised pre-training vision transformer (ViT) via masked image modeling (MIM) has been proven very effective. However, customized algorithms should be carefully designed fo…
Advancing Plain Vision Transformer Towards Remote Sensing Foundation Model
Di Wang, Qiming Zhang, Yufei Xu +4
Large-scale vision foundation models have made significant progress in visual tasks on natural images, with vision transformers being the primary choice due to their good scalabili…
Toward Real-world Single Image Deraining: A New Benchmark and Beyond
Wei Li, Qiming Zhang, Jing Zhang +3
Single image deraining (SID) in real scenarios attracts increasing attention in recent years. Due to the difficulty in obtaining real-world rainy/clean image pairs, previous real d…
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation
Yufei Xu, Jing Zhang, Qiming Zhang +1
Although no specific domain knowledge is considered in the design, plain vision transformers have shown excellent performance in visual recognition tasks. However, little effort ha…
VSA: Learning Varied-Size Window Attention in Vision Transformers
Qiming Zhang, Yufei Xu, Jing Zhang +1
Attention within windows has been widely explored in vision transformers to balance the performance, computation complexity, and memory footprint. However, current models adopt a h…
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond
Qiming Zhang, Yufei Xu, Jing Zhang +1
Vision transformers have shown great potential in various computer vision tasks owing to their strong capability to model long-range dependency using the self-attention mechanism.…
RegionCL: Can Simple Region Swapping Contribute to Contrastive Learning?
Yufei Xu, Qiming Zhang, Jing Zhang +1
Self-supervised methods (SSL) have achieved significant success via maximizing the mutual information between two augmented views, where cropping is a popular augmentation techniqu…
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias
Yufei Xu, Qiming Zhang, Jing Zhang +1
Transformers have shown great potential in various computer vision tasks owing to their strong capability in modeling long-range dependency using the self-attention mechanism. Neve…
Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing
Haoyu He, Jing Zhang, Qiming Zhang +1
Human parsing, or human body part semantic segmentation, has been an active research topic due to its wide potential applications. In this paper, we propose a novel GRAph PYramid M…
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation
Qiming Zhang, Jing Zhang, Wei Liu +1
Unsupervised domain adaptation (UDA) aims to enhance the generalization capability of a certain model from a source domain to a target domain. UDA is of particular significance sin…