no code implementations • 19 Feb 2024 • Yean Cheng, Renjie Wan, Shuchen Weng, Chengxuan Zhu, Yakun Chang, Boxin Shi
Though Neural Radiance Fields (NeRF) can produce colorful 3D representations of the world by using a set of 2D images, such ability becomes non-existent when only monochromatic images are provided.
no code implementations • 4 Jan 2024 • Ruofei Wang, Renjie Wan, Zongyu Guo, Qing Guo, Rui Huang
Backdoor attack aims to deceive a victim model when facing backdoor instances while maintaining its performance on benign data.
no code implementations • 6 Sep 2023 • Ting Jin, Xingran Xie, Renjie Wan, Qingli Li, Yan Wang
Histology analysis of the tumor micro-environment integrated with genomic assays is the gold standard for most cancers in modern medicine.
no code implementations • 26 Jul 2023 • Canyu Zhang, Qing Guo, Xiaoguang Li, Renjie Wan, Hongkai Yu, Ivor Tsang, Song Wang
Given the coordinates of a pixel we want to reconstruct, we first collect its neighboring pixels in the input image and extract their detail-enhanced semantic embeddings, unmask-attentional semantic embeddings, importance values, and spatial distances to the desired pixel.
1 code implementation • ICCV 2023 • Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan
Neural Radiance Fields (NeRF) have the potential to be a major representation of media.
no code implementations • 9 Jul 2023 • Shulin Tian, YuFei Wang, Renjie Wan, Wenhan Yang, Alex C. Kot, Bihan Wen
In this work, we propose a novel approach to increase the visibility of images captured under low-light environments by removing the in-camera infrared (IR) cut-off filter, which allows for the capture of more photons and results in improved signal-to-noise ratio due to the inclusion of information from the IR spectrum.
no code implementations • 9 Jun 2023 • João Phillipe Cardenuto, Jing Yang, Rafael Padilha, Renjie Wan, Daniel Moreira, Haoliang Li, Shiqi Wang, Fernanda Andaló, Sébastien Marcel, Anderson Rocha
Synthetic realities are digital creations or augmentations that are contextually generated through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data to construct new narratives or realities, regardless of the intent to deceive.
no code implementations • 26 Feb 2023 • Kecheng Chen, Haoliang Li, Renjie Wan, Hong Yan
Under this probabilistic framework, we propose to alleviate the noise distribution shifts between source and target domains via implicit noise modeling schemes in the latent space and image space, respectively.
1 code implementation • 11 Feb 2023 • YuFei Wang, Renjie Wan, Wenhan Yang, Bihan Wen, Lap-Pui Chau, Alex C. Kot
Removing image artifacts from the scratched lens protector is inherently challenging due to the occasional flare artifacts and the co-occurring interference within mixed artifacts.
1 code implementation • CVPR 2023 • Chengxuan Zhu, Renjie Wan, Yunkai Tang, Boxin Shi
Our everyday lives are filled with occlusions that we strive to see through.
no code implementations • 10 Jan 2022 • Lanqing Guo, Renjie Wan, Wenhan Yang, Alex Kot, Bihan Wen
Images captured in the low-light condition suffer from low visibility and various imaging artifacts, e. g., real noise.
1 code implementation • 13 Oct 2021 • Rizhao Cai, Zhi Li, Renjie Wan, Haoliang Li, Yongjian Hu, Alex ChiChung Kot
To improve the generalization ability, recent hybrid methods have been explored to extract task-aware handcrafted features (e. g., Local Binary Pattern) as discriminative information for the input of DNNs.
1 code implementation • 13 Sep 2021 • YuFei Wang, Renjie Wan, Wenhan Yang, Haoliang Li, Lap-Pui Chau, Alex C. Kot
To enhance low-light images to normally-exposed ones is highly ill-posed, namely that the mapping relationship between them is one-to-many.
Ranked #3 on Low-Light Image Enhancement on Sony-Total-Dark
1 code implementation • NeurIPS 2020 • Haoliang Li, YuFei Wang, Renjie Wan, Shiqi Wang, Tie-Qiang Li, Alex C. Kot
Recently, we have witnessed great progress in the field of medical imaging classification by adopting deep neural networks.
no code implementations • 15 Sep 2020 • Haoliang Li, Yufei Wang, Xiaofei Xie, Yang Liu, Shiqi Wang, Renjie Wan, Lap-Pui Chau, Alex C. Kot
In this paper, we propose a novel black-box backdoor attack technique on face recognition systems, which can be conducted without the knowledge of the targeted DNN model.
no code implementations • CVPR 2020 • Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot
We first propose a strategy to obtain such ground truth and its corresponding input images.
no code implementations • 3 Mar 2019 • Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Alex C. Kot
Face images captured through the glass are usually contaminated by reflections.
1 code implementation • CVPR 2018 • Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
Removing the undesired reflections from images taken through the glass is of broad application to various computer vision tasks.
no code implementations • ICCV 2017 • Renjie Wan, Boxin Shi, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot
Removing undesired reflections from a photo taken in front of a glass is of great importance for enhancing the efficiency of visual computing systems.