Search Results for author: Jianan Li

Found 39 papers, 14 papers with code

Dual Path Networks

19 code implementations NeurIPS 2017 Yunpeng Chen, Jianan Li, Huaxin Xiao, Xiaojie Jin, Shuicheng Yan, Jiashi Feng

In this work, we present a simple, highly efficient and modularized Dual Path Network (DPN) for image classification which presents a new topology of connection paths internally.

Image Classification

Evidential Detection and Tracking Collaboration: New Problem, Benchmark and Algorithm for Robust Anti-UAV System

1 code implementation27 Jun 2023 Xue-Feng Zhu, Tianyang Xu, Jian Zhao, Jia-Wei Liu, Kai Wang, Gang Wang, Jianan Li, Qiang Wang, Lei Jin, Zheng Zhu, Junliang Xing, Xiao-Jun Wu

Still, previous works have simplified such an anti-UAV task as a tracking problem, where the prior information of UAVs is always provided; such a scheme fails in real-world anti-UAV tasks (i. e. complex scenes, indeterminate-appear and -reappear UAVs, and real-time UAV surveillance).

Seq-NMS for Video Object Detection

1 code implementation26 Feb 2016 Wei Han, Pooya Khorrami, Tom Le Paine, Prajit Ramachandran, Mohammad Babaeizadeh, Honghui Shi, Jianan Li, Shuicheng Yan, Thomas S. Huang

Video object detection is challenging because objects that are easily detected in one frame may be difficult to detect in another frame within the same clip.

General Classification Object +4

Value-Informed Skill Chaining for Policy Learning of Long-Horizon Tasks with Surgical Robot

1 code implementation31 Jul 2023 Tao Huang, Kai Chen, Wang Wei, Jianan Li, Yonghao Long, Qi Dou

Based on this value function, a chaining policy is learned to instruct subtask policies to terminate at the state with the highest value so that all subsequent policies are more likely to be connected for accomplishing the task.

reinforcement-learning

Spectrum-driven Mixed-frequency Network for Hyperspectral Salient Object Detection

1 code implementation2 Dec 2023 Peifu Liu, Tingfa Xu, Huan Chen, Shiyun Zhou, Haolin Qin, Jianan Li

The Spectral Saliency approximates the region of salient objects, while the Spectral Edge captures edge information of salient objects.

object-detection Object Detection +1

PointGL: A Simple Global-Local Framework for Efficient Point Cloud Analysis

1 code implementation22 Jan 2024 Jianan Li, Jie Wang, Tingfa Xu

Efficient analysis of point clouds holds paramount significance in real-world 3D applications.

Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data

1 code implementation30 Dec 2021 Shenwang Jiang, Jianan Li, Ying Wang, Bo Huang, Zhang Zhang, Tingfa Xu

In practice, however, biased samples with corrupted labels and of tailed classes commonly co-exist in training data.

Attribute Meta-Learning

RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging

1 code implementation6 Feb 2023 Shiyun Zhou, Tingfa Xu, Shaocong Dong, Jianan Li

The regional dynamic block guides the network to adjust the transformation domain for different regions.

Spectral Reconstruction

Factorization Vision Transformer: Modeling Long Range Dependency with Local Window Cost

1 code implementation14 Dec 2023 Haolin Qin, Daquan Zhou, Tingfa Xu, Ziyang Bian, Jianan Li

Accordingly, we propose a novel factorization self-attention mechanism (FaSA) that enjoys both the advantages of local window cost and long-range dependency modeling capability.

Integrated Face Analytics Networks through Cross-Dataset Hybrid Training

no code implementations16 Nov 2017 Jianshu Li, Shengtao Xiao, Fang Zhao, Jian Zhao, Jianan Li, Jiashi Feng, Shuicheng Yan, Terence Sim

Specifically, iFAN achieves an overall F-score of 91. 15% on the Helen dataset for face parsing, a normalized mean error of 5. 81% on the MTFL dataset for facial landmark localization and an accuracy of 45. 73% on the BNU dataset for emotion recognition with a single model.

Face Alignment Face Parsing +1

Perceptual Generative Adversarial Networks for Small Object Detection

no code implementations CVPR 2017 Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan

In this work, we address the small object detection problem by developing a single architecture that internally lifts representations of small objects to "super-resolved" ones, achieving similar characteristics as large objects and thus more discriminative for detection.

Generative Adversarial Network Object +2

Multi-stage Object Detection with Group Recursive Learning

no code implementations18 Aug 2016 Jianan Li, Xiaodan Liang, Jianshu Li, Tingfa Xu, Jiashi Feng, Shuicheng Yan

Most of existing detection pipelines treat object proposals independently and predict bounding box locations and classification scores over them separately.

Object object-detection +4

Scale-aware Fast R-CNN for Pedestrian Detection

no code implementations28 Oct 2015 Jianan Li, Xiaodan Liang, ShengMei Shen, Tingfa Xu, Jiashi Feng, Shuicheng Yan

Taking pedestrian detection as an example, we illustrate how we can leverage this philosophy to develop a Scale-Aware Fast R-CNN (SAF R-CNN) framework.

Pedestrian Detection Philosophy

Attentive Contexts for Object Detection

no code implementations24 Mar 2016 Jianan Li, Yunchao Wei, Xiaodan Liang, Jian Dong, Tingfa Xu, Jiashi Feng, Shuicheng Yan

We provide preliminary answers to these questions through developing a novel Attention to Context Convolution Neural Network (AC-CNN) based object detection model.

Object object-detection +1

Local Grid Rendering Networks for 3D Object Detection in Point Clouds

no code implementations4 Jul 2020 Jianan Li, Jiashi Feng

The performance of 3D object detection models over point clouds highly depends on their capability of modeling local geometric patterns.

3D Object Detection Computational Efficiency +1

Attribute-conditioned Layout GAN for Automatic Graphic Design

no code implementations11 Sep 2020 Jianan Li, Jimei Yang, Jianming Zhang, Chang Liu, Christina Wang, Tingfa Xu

In this paper, we introduce Attribute-conditioned Layout GAN to incorporate the attributes of design elements for graphic layout generation by forcing both the generator and the discriminator to meet attribute conditions.

Attribute

Temporal Graph Modeling for Skeleton-based Action Recognition

no code implementations16 Dec 2020 Jianan Li, Xuemei Xie, Zhifu Zhao, Yuhan Cao, Qingzhe Pan, Guangming Shi

Specifically, the constructed temporal relation graph explicitly builds connections between semantically related temporal features to model temporal relations between both adjacent and non-adjacent time steps.

Action Recognition Skeleton Based Action Recognition

Updatable Siamese Tracker with Two-stage One-shot Learning

no code implementations30 Apr 2021 Xinglong Sun, Guangliang Han, Lihong Guo, Tingfa Xu, Jianan Li, Peixun Liu

Offline Siamese networks have achieved very promising tracking performance, especially in accuracy and efficiency.

Object One-Shot Learning +1

The 2nd Anti-UAV Workshop & Challenge: Methods and Results

no code implementations23 Aug 2021 Jian Zhao, Gang Wang, Jianan Li, Lei Jin, Nana Fan, Min Wang, Xiaojuan Wang, Ting Yong, Yafeng Deng, Yandong Guo, Shiming Ge, Guodong Guo

The 2nd Anti-UAV Workshop \& Challenge aims to encourage research in developing novel and accurate methods for multi-scale object tracking.

Object Tracking

Pyramid Correlation based Deep Hough Voting for Visual Object Tracking

no code implementations15 Oct 2021 Ying Wang, Tingfa Xu, Jianan Li, Shenwang Jiang, Junjie Chen

Through experiments we find that, without regression, the performance could be equally promising as long as we delicately design the network to suit the training objective.

regression Visual Object Tracking

PAPooling: Graph-based Position Adaptive Aggregation of Local Geometry in Point Clouds

no code implementations28 Nov 2021 Jie Wang, Jianan Li, Lihe Ding, Ying Wang, Tingfa Xu

Fine-grained geometry, captured by aggregation of point features in local regions, is crucial for object recognition and scene understanding in point clouds.

3D Shape Classification graph construction +4

RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation

no code implementations26 Jan 2022 Shiqi Huang, Jianan Li, Yuze Xiao, Ning Shen, Tingfa Xu

Automatic diabetic retinopathy (DR) lesions segmentation makes great sense of assisting ophthalmologists in diagnosis.

Lesion Detection Lesion Segmentation +1

FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object Detection

no code implementations22 Sep 2022 Xinli Xu, Shaocong Dong, Lihe Ding, Jie Wang, Tingfa Xu, Jianan Li

Existing 3D detectors significantly improve the accuracy by adopting a two-stage paradigm which merely relies on LiDAR point clouds for 3D proposal refinement.

3D Object Detection Autonomous Driving +2

Rethinking Few-Shot Medical Segmentation: A Vector Quantization View

no code implementations CVPR 2023 Shiqi Huang, Tingfa Xu, Ning Shen, Feng Mu, Jianan Li

The existing few-shot medical segmentation networks share the same practice that the more prototypes, the better performance.

Quantization Segmentation

Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework

no code implementations CVPR 2023 Jianan Li, Qiulei Dong

The proposed APF consists of a feature extraction module for extracting point features, a prototypical constraint module, and a feature adversarial module.

3D Semantic Segmentation Segmentation

Predator-prey survival pressure is sufficient to evolve swarming behaviors

no code implementations24 Aug 2023 Jianan Li, Liang Li, Shiyu Zhao

The comprehension of how local interactions arise in global collective behavior is of utmost importance in both biological and physical research.

reinforcement-learning

Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction

no code implementations2 Dec 2023 Huan Chen, Wangcai Zhao, Tingfa Xu, Shiyun Zhou, Peifu Liu, Jianan Li

The Fourier coordinate encoder enhances the SINR's ability to emphasize high-frequency components, while the spectral scale factor module guides the SINR to adapt to the variable number of spectral channels.

Image Reconstruction Spectral Super-Resolution +1

BACTrack: Building Appearance Collection for Aerial Tracking

no code implementations11 Dec 2023 Xincong Liu, Tingfa Xu, Ying Wang, Zhinong Yu, Xiaoying Yuan, Haolin Qin, Jianan Li

At the same time, the appearance discriminator employs an online adaptive template-update strategy to ensure that the collected multiple templates remain reliable and diverse, allowing them to closely follow rapid changes in the target's appearance and suppress background interference during tracking.

Template Matching

MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation

no code implementations22 Jan 2024 Shenwang Jiang, Jianan Li, Ying Wang, Wenxuan Wu, Jizhou Zhang, Bo Huang, Tingfa Xu

Noisy labels, inevitably existing in pseudo segmentation labels generated from weak object-level annotations, severely hampers model optimization for semantic segmentation.

Meta-Learning Model Optimization +2

MsSVT++: Mixed-scale Sparse Voxel Transformer with Center Voting for 3D Object Detection

no code implementations22 Jan 2024 Jianan Li, Shaocong Dong, Lihe Ding, Tingfa Xu

To mitigate the computational complexity associated with applying a window-based transformer in 3D voxel space, we introduce a novel Chessboard Sampling strategy and implement voxel sampling and gathering operations sparsely using a hash map.

3D Object Detection Object +2

Multi-step Temporal Modeling for UAV Tracking

no code implementations7 Mar 2024 Xiaoying Yuan, Tingfa Xu, Xincong Liu, Ying Wang, Haolin Qin, Yuqiang Fang, Jianan Li

This module leverages temporal information to refresh the template feature, yielding a more precise correlation map.

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