It is related to semantic segmentation
It is related to Event-to-Video Reconstruction
It is related to Text-to-3D Generation
They are related to Multi-Modal Semantic Segmentation, Event Camera
They are related to Multi-Modal 3D Semantic Occupancy, Nighttime Semantic Segmentation
They are related to omnidirectional image, depth estimation, image super-resolution
It is related to Low-Light Image Enhancement
It is related to 3D Semantic Occupancy Prediction
They are related to Depth Estimation/Semantic Segmentation/SLAM
It is related to Depth Estimation/Semantic Segmentation/SLAM
They are related to Depth Estimation/Semantic Segmentation/SLAM
They are related to Depth Estimation/Semantic Segmentation/Object Detection
They are related to Virtual Scene Creation/Pupil Tracking
It is related to Multi-modal/ Semantic Segmentation
They are related to event-based/360-based vision/UDA
They are related to event-based/360-based vision/UDA
Deep learning for event-based vision
They are related to event-based/360-based vision/UDA
SEPT: Towards Scalable and Efficient Visual Pre-Training
SEPT: Towards Scalable and Efficient Visual Pre-Training
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students
Vetaverse: A Survey on the Intersection of Metaverse, Vehicles, and Transportation Systems
These are related to 360 vision and Prior for image restoration
Paper list will come soon!!
The workshop will be help on Jan 29th, 2022
The workshop was reported in Sohu, Jinritoutiao, Wangyi News!!
He will be on board from Dec. 9, 2021.
We have one paper accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). The paper is “Deep Learning for HDR Imaging: State-of-the-Art and Future Trends” by Lin Wang and Kuk-Jin Yoon.
We have one paper accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). The paper is “Joint Framework for Single Image Reconstruction and Super-Resolution with an Event Camera” by Lin Wang, Taekyun Kim and Kuk-Jin Yoon.
We have one paper accepted to IEEE Transactions on Image Processing. The paper is “PSAT-GAN: Efficient Adversarial Attacks against Holistic Scene Understanding” by Lin Wang and Kuk-Jin Yoon.
We have one paper accepted to Pattern Recognition. The paper is “Semi-supervised Student-Teacher Learning for Single Image Super-Resolution” by Lin Wang and Kuk-Jin Yoon.