Kai Li

Orcid: 0000-0002-9027-0914

Affiliations:
  • NEC Laboratories America, Machine Learning Department, Princeton, NJ, USA
  • Northeastern University, Department of ECE, Boston, MA, USA


According to our database1, Kai Li authored at least 44 papers between 2012 and 2023.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Attentive Variational Information Bottleneck for TCR-peptide interaction prediction.
Bioinform., January, 2023

Image-Text Embedding Learning via Visual and Textual Semantic Reasoning.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model.
CoRR, 2023

Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects.
CoRR, 2023

Consistency Regularization for Generalizable Source-free Domain Adaptation.
CoRR, 2023

HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance.
CoRR, 2023

Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping.
CoRR, 2023

Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Personalized Semantics Excitation for Federated Image Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Realizing the Value of Labeled Target Samples: A Two-Stage Approach for Semi-Supervised Domain Adaptation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Exploring Compositional Visual Generation with Latent Classifier Guidance.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Conditional Image-to-Video Generation with Latent Flow Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Cross-Domain Detection with Self-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Source-Free Video Domain Adaptation with Spatial-Temporal-Historical Consistency Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adversarial Alignment for Source Free Object Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Vehicle and Person Re-Identification With Support Neighbor Loss.
IEEE Trans. Neural Networks Learn. Syst., 2022

Self-Guided Deep Multiview Subspace Clustering via Consensus Affinity Regularization.
IEEE Trans. Cybern., 2022

Fast Multi-View Outlier Detection via Deep Encoder.
IEEE Trans. Big Data, 2022

Unsupervised Anomaly Detection with Self-Training and Knowledge Distillation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Fast Few-shot Debugging for NLU Test Suites.
Proceedings of Deep Learning Inside Out: The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning Architectures, 2022

2021
Accurate and Fast Image Denoising via Attention Guided Scaling.
IEEE Trans. Image Process., 2021

Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning.
CoRR, 2021

RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks.
CoRR, 2021

Domain Generalization via Feature Variation Decorrelation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Faster-PPN: Towards Real-Time Semantic Segmentation with Dual Mutual Learning for Ultra-High Resolution Images.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

VINS: Visual Search for Mobile User Interface Design.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020
Cross-Domain Document Object Detection: Benchmark Suite and Method.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Adversarial Feature Hallucination Networks for Few-Shot Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Toward Resolution-Invariant Person Reidentification via Projective Dictionary Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019

A fast single-image super-resolution method implemented with CUDA.
J. Real Time Image Process., 2019

Residual Non-local Attention Networks for Image Restoration.
Proceedings of the 7th International Conference on Learning Representations, 2019

Attention Bridging Network for Knowledge Transfer.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Visual Semantic Reasoning for Image-Text Matching.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

On Novel Object Recognition: A Unified Framework for Discriminability and Adaptability.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Support Neighbor Loss for Person Re-Identification.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Image Super-Resolution Using Very Deep Residual Channel Attention Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Latent Discriminant Subspace Representations for Multi-View Outlier Detection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2012
Study of the Cost-Benefit Analysis of Electronic Medical Record Systems in General Hospital in China.
J. Medical Syst., 2012


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