Xiang Li

Orcid: 0000-0002-4996-7365

Affiliations:
  • Nankai University, College of Computer Science, Tianjin, China
  • Momenta, China
  • Nanjing University of Science and Technology, School of Computer Science and Engineering, PCA Lab, Nanjing, China (PhD 2020)
  • Nanjing University of Science and Technology, Jiangsu Key Lab of Image and Video Understanding for Social Security, Nanjing, China


According to our database1, Xiang Li authored at least 85 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Zone Evaluation: Revealing Spatial Bias in Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Learning Complementary Correlations for Depth Super-Resolution With Incomplete Data in Real World.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

Learnable differencing center for nighttime depth perception.
Vis. Intell., 2024

Towards more reliable evaluation in pedestrian detection by rethinking "ignore regions".
Vis. Intell., 2024

Pick of the Bunch: Detecting Infrared Small Targets Beyond Hit-Miss Trade-Offs via Selective Rank-Aware Attention.
IEEE Trans. Geosci. Remote. Sens., 2024

Dual teachers for self-knowledge distillation.
Pattern Recognit., 2024

Novel Object Synthesis via Adaptive Text-Image Harmony.
CoRR, 2024

DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain.
CoRR, 2024

GrokLST: Towards High-Resolution Benchmark and Toolkit for Land Surface Temperature Downscaling.
CoRR, 2024

HazyDet: Open-source Benchmark for Drone-view Object Detection with Depth-cues in Hazy Scenes.
CoRR, 2024

Revisiting Prompt Pretraining of Vision-Language Models.
CoRR, 2024

From Words to Worth: Newborn Article Impact Prediction with LLM.
CoRR, 2024

Add-SD: Rational Generation without Manual Reference.
CoRR, 2024

LSKNet: A Foundation Lightweight Backbone for Remote Sensing.
CoRR, 2024

SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection.
CoRR, 2024

A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence.
CoRR, 2024

Cascade Prompt Learning for Vision-Language Model Adaptation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Distilling Knowledge from Large-Scale Image Models for Object Detection.
Proceedings of the Computer Vision - ECCV 2024, 2024

CrossKD: Cross-Head Knowledge Distillation for Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Boundary-restricted metric learning.
Mach. Learn., December, 2023

Denseformer: A dense transformer framework for person re-identification.
IET Comput. Vis., August, 2023

Generalized Focal Loss: Towards Efficient Representation Learning for Dense Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

APF-GAN: Exploring asymmetric pre-training and fine-tuning strategy for conditional generative adversarial network.
Comput. Vis. Media, February, 2023

One-Stage Cascade Refinement Networks for Infrared Small Target Detection.
IEEE Trans. Geosci. Remote. Sens., 2023

Two-phase self-supervised pretraining for object re-identification.
Knowl. Based Syst., 2023

RigNet++: Efficient Repetitive Image Guided Network for Depth Completion.
CoRR, 2023

AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization.
CoRR, 2023

Learnable Differencing Center for Nighttime Depth Perception.
CoRR, 2023

CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection.
CoRR, 2023

Variable Radiance Field for Real-Life Category-Specifc Reconstruction from Single Image.
CoRR, 2023

Fine-Grained Visual Prompting.
CoRR, 2023

Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?
CoRR, 2023

Non-aligned supervision for Real Image Dehazing.
CoRR, 2023

Towards Spatial Equilibrium Object Detection.
CoRR, 2023

Distortion and Uncertainty Aware Loss for Panoramic Depth Completion.
Proceedings of the International Conference on Machine Learning, 2023

ADNet: Lane Shape Prediction via Anchor Decomposition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Creative Birds: Self-Supervised Single-View 3D Style Transfer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Large Selective Kernel Network for Remote Sensing Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Structure Flow-Guided Network for Real Depth Super-resolution.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Recurrent Structure Attention Guidance for Depth Super-resolution.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Curriculum Temperature for Knowledge Distillation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
CBi-GNN: Cross-Scale Bilateral Graph Neural Network for 3D Object Detection.
IEEE Trans. Intell. Transp. Syst., 2022

PAN++: Towards Efficient and Accurate End-to-End Spotting of Arbitrarily-Shaped Text.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality.
CoRR, 2022

RecursiveMix: Mixed Learning with History.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

PPT: Anomaly Detection Dataset of Printed Products with Templates.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

RigNet: Repetitive Image Guided Network for Depth Completion.
Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-modal Masked Pre-training for Monocular Panoramic Depth Completion.
Proceedings of the Computer Vision - ECCV 2022, 2022

PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Spatial Group-Wise Enhance: Enhancing Semantic Feature Learning in CNN.
Proceedings of the Computer Vision - ACCV 2022, 2022

Knowledge Distillation for Object Detection via Rank Mimicking and Prediction-Guided Feature Imitation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Student Helping Teacher: Teacher Evolution via Self-Knowledge Distillation.
CoRR, 2021

RigNet: Repetitive Image Guided Network for Depth Completion.
CoRR, 2021

Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Hierarchical Attentive Upsampling on Input Signals for Remote Heart Rate Estimation.
Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020
Toward Making Unsupervised Graph Hashing Discriminative.
IEEE Trans. Multim., 2020

Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit.
IEEE Trans. Intell. Transp. Syst., 2020

Joint Task-Recursive Learning for RGB-D Scene Understanding.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding the Disharmony between Weight Normalization Family and Weight Decay.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks.
CoRR, 2019

Shape Robust Text Detection With Progressive Scale Expansion Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Selective Kernel Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Inter-Class Angular Loss for Convolutional Neural Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Triple Attention Mixed Link Network for Single Image Super Resolution.
CoRR, 2018

Shape Robust Text Detection with Progressive Scale Expansion Network.
CoRR, 2018

Densely Connected Bidirectional LSTM with Applications to Sentence Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Mixed Link Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Adversarial Metric Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Teach to Hash: A Deep Supervised Hashing Framework with Data Selection.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Discrete Locally-Linear Preserving Hashing.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal.
CoRR, 2017

Unsupervised Multi-Domain Image Translation with Domain-Specific Encoders/Decoders.
CoRR, 2017

2016
LightRNN: Memory and Computation-Efficient Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
The Hierarchical Model to Ali Mobile Recommendation Competition.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Deep Convolutional Neural Network and Multi-view Stacking Ensemble in Ali Mobile Recommendation Algorithm Competition: The Solution to the Winning of Ali Mobile Recommendation Algorithm.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015


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