Jiachen Li

Affiliations:
  • University of Illinois Urbana-Champaign, IL, USA


According to our database1, Jiachen Li authored at least 16 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Video Instance Matting.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

VMFormer: End-to-End Video Matting with Transformer.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Matting Anything.
CoRR, 2023

SeMask: Semantically Masked Transformers for Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VideoMatt: A Simple Baseline for Accessible Real-Time Video Matting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ConvMLP: Hierarchical Convolutional MLPs for Vision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

OneFormer: One Transformer to Rule Universal Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neighborhood Attention Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Point-to-Box Network for Accurate Object Detection via Single Point Supervision.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
MSN: Efficient Online Mask Selection Network for Video Instance Segmentation.
CoRR, 2021

Escaping the Big Data Paradigm with Compact Transformers.
CoRR, 2021

RSCA: Real-Time Segmentation-Based Context-Aware Scene Text Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Pseudo-IoU: Improving Label Assignment in Anchor-Free Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems.
Proceedings of Machine Learning and Systems 2020, 2020

2019
SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection.
CoRR, 2019

Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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