Shu Kong

Orcid: 0000-0002-1362-5937

According to our database1, Shu Kong authored at least 65 papers between 2012 and 2024.

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Bibliography

2024
UAL-Bench: The First Comprehensive Unusual Activity Localization Benchmark.
CoRR, 2024

Lidar Panoptic Segmentation in an Open World.
CoRR, 2024

Few-Shot Recognition via Stage-Wise Augmented Finetuning.
CoRR, 2024

Roadside Monocular 3D Detection via 2D Detection Prompting.
CoRR, 2024

Towards Unstructured Unlabeled Optical Mocap: A Video Helps!
Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Improving Knowledge Distillation via Regularizing Feature Direction and Norm.
Proceedings of the Computer Vision - ECCV 2024, 2024

CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching.
Proceedings of the Computer Vision - ECCV 2024, 2024

Instance Tracking in 3D Scenes from Egocentric Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Boosting Image Restoration via Priors from Pre-Trained Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

The Neglected Tails in Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Alpha-CLIP: A CLIP Model Focusing on Wherever you Want.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AccessLens: Auto-detecting Inaccessibility of Everyday Objects.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Label-Free Detection of CA19-9 Using a BSA/Graphene-Based Antifouling Electrochemical Immunosensor.
Sensors, December, 2023

Revisiting Few-Shot Object Detection with Vision-Language Models.
CoRR, 2023

Long-Tailed 3D Detection via 2D Late Fusion.
CoRR, 2023

A High-Resolution Dataset for Instance Detection with Multi-View Instance Capture.
CoRR, 2023

Improving Knowledge Distillation via Regularizing Feature Norm and Direction.
CoRR, 2023

Creating a Forensic Database of Shoeprints from Online Shoe-Tread Photos.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Far3Det: Towards Far-Field 3D Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

OV-PARTS: Towards Open-Vocabulary Part Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A High-Resolution Dataset for Instance Detection with Multi-View Object Capture.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prompting Scientific Names for Zero-Shot Species Recognition.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Learning with an Evolving Class Ontology.
CoRR, 2022

ShoeRinsics: Shoeprint Prediction for Forensics with Intrinsic Decomposition.
CoRR, 2022

Continual Learning with Evolving Class Ontologies.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multimodal Object Detection via Probabilistic Ensembling.
Proceedings of the Computer Vision - ECCV 2022, 2022

Long- Tailed Recognition via Weight Balancing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Long-Tailed 3D Detection.
Proceedings of the Conference on Robot Learning, 2022

2021
Multimodal Object Detection via Bayesian Fusion.
CoRR, 2021

OpenGAN: Open-Set Recognition via Open Data Generation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Fine-grained facial expression analysis using dimensional emotion model.
Neurocomputing, 2020

When Perspective Comes for Free: Improving Depth Prediction with Camera Pose Encoding.
CoRR, 2020

Weak Supervision and Referring Attention for Temporal-Textual Association Learning.
CoRR, 2020

Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Celeganser: Automated Analysis of Nematode Morphology and Age.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Pixel-Level Prediction: Models and Applications.
PhD thesis, 2019

Multigrid Predictive Filter Flow for Unsupervised Learning on Videos.
CoRR, 2019

Pixel-Wise Attentional Gating for Scene Parsing.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Modularized Textual Grounding for Counterfactual Resilience.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Image Reconstruction with Predictive Filter Flow.
CoRR, 2018

Pixel-wise Attentional Gating for Parsimonious Pixel Labeling.
CoRR, 2018

Weakly Supervised Attention Learning for Textual Phrases Grounding.
CoRR, 2018

Recurrent Pixel Embedding for Instance Grouping.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Recurrent Scene Parsing With Perspective Understanding in the Loop.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Low-Rank Bilinear Pooling for Fine-Grained Classification.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Photo Aesthetics Ranking Network with Attributes and Content Adaptation.
Proceedings of the Computer Vision - ECCV 2016, 2016

Spatially Aware Dictionary Learning and Coding for Fossil Pollen Identification.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Modeling Neuron Selectivity Over Simple Midlevel Features for Image Classification.
IEEE Trans. Image Process., 2015

2014
A classification-oriented dictionary learning model: Explicitly learning the particularity and commonality across categories.
Pattern Recognit., 2014

Collaborative Receptive Field Learning.
CoRR, 2014

Learning Mid-Level Features and Modeling Neuron Selectivity for Image Classification.
CoRR, 2014

2013
Learning class-specific dictionaries for digit recognition from spherical surface of a 3D ball.
Mach. Vis. Appl., 2013

Integration of multi-feature fusion and dictionary learning for face recognition.
Image Vis. Comput., 2013

Learning Exemplar-Represented Manifolds in Latent Space for Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Multiple feature fusion for face recognition.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

Learning individual-specific dictionaries with fused multiple features for face recognition.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012
Feature selection from high-order tensorial data via sparse decomposition.
Pattern Recognit. Lett., 2012

Online Discriminative Dictionary Learning for Image Classification Based on Block-Coordinate Descent Method
CoRR, 2012

A Report on Multilinear PCA Plus Multilinear LDA to Deal with Tensorial Data: Visual Classification as An Example
CoRR, 2012

Multi-Level Feature Descriptor for Robust Texture Classification via Locality-Constrained Collaborative Strategy
CoRR, 2012

Transfer heterogeneous unlabeled data for unsupervised clustering.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A multi-task learning strategy for unsupervised clustering via explicitly separating the commonality.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A Dictionary Learning Approach for Classification: Separating the Particularity and the Commonality.
Proceedings of the Computer Vision - ECCV 2012, 2012


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