1 code implementation • ECCV 2020 • Guanting Dong, Yueyi Zhang, Zhiwei Xiong
In this paper, we propose a Spatial Hierarchy Aware Residual Pyramid Network, called SHARP-Net, to remove the depth noise by fully exploiting the geometry information of the scene on different scales.
1 code implementation • ECCV 2020 • Jiayong Peng, Zhiwei Xiong, Xin Huang, Zheng-Ping Li, Dong Liu, Feihu Xu
Photon-efficient imaging has enabled a number of applications relying on single-photon sensors that can capture a 3D image with as few as one photon per pixel.
no code implementations • 25 Mar 2024 • Quan Zhang, Xiaoyu Liu, Wei Li, Hanting Chen, Junchao Liu, Jie Hu, Zhiwei Xiong, Chun Yuan, Yunhe Wang
SPD leverages a self-distillation manner to distill the fused semantic priors to boost the performance of original IR models.
no code implementations • 24 Mar 2024 • Yinda Chen, Che Liu, Xiaoyu Liu, Rossella Arcucci, Zhiwei Xiong
The burgeoning integration of 3D medical imaging into healthcare has led to a substantial increase in the workload of medical professionals.
1 code implementation • 29 Feb 2024 • Qi Chen, Xiaoxi Chen, Haorui Song, Zhiwei Xiong, Alan Yuille, Chen Wei, Zongwei Zhou
Tumor synthesis enables the creation of artificial tumors in medical images, facilitating the training of AI models for tumor detection and segmentation.
no code implementations • 4 Feb 2024 • Jie Lian, Lizhi Wang, Lin Zhu, Renwei Dian, Zhiwei Xiong, Hua Huang
To fill this gap, we propose physics-inspired degradation models (PIDM) to model the degradation of LR-HSI and HR-MSI, which comprises a spatial degradation network (SpaDN) and a spectral degradation network (SpeDN).
no code implementations • 1 Feb 2024 • Ruisheng Gao, Yutong Liu, Zeyu Xiao, Zhiwei Xiong
Light fields (LFs), conducive to comprehensive scene radiance recorded across angular dimensions, find wide applications in 3D reconstruction, virtual reality, and computational photography. However, the LF acquisition is inevitably time-consuming and resource-intensive due to the mainstream acquisition strategy involving manual capture or laborious software synthesis. Given such a challenge, we introduce LFdiff, a straightforward yet effective diffusion-based generative framework tailored for LF synthesis, which adopts only a single RGB image as input. LFdiff leverages disparity estimated by a monocular depth estimation network and incorporates two distinctive components: a novel condition scheme and a noise estimation network tailored for LF data. Specifically, we design a position-aware warping condition scheme, enhancing inter-view geometry learning via a robust conditional signal. We then propose DistgUnet, a disentanglement-based noise estimation network, to harness comprehensive LF representations. Extensive experiments demonstrate that LFdiff excels in synthesizing visually pleasing and disparity-controllable light fields with enhanced generalization capability. Additionally, comprehensive results affirm the broad applicability of the generated LF data, spanning applications like LF super-resolution and refocusing.
no code implementations • 24 Jan 2024 • Yunfan Zhang, Hong Huang, Zhiwei Xiong, Zhiqi Shen, Guosheng Lin, Hao Wang, Nicholas Vun
The core strength of our pipeline lies in its ability to generate 3D scenes that are not only visually impressive but also exhibit features like photorealism, multi-view consistency, and diversity.
2 code implementations • 12 Jan 2024 • Xiaoyu Liu, Yueyi Zhang, Zhiwei Xiong, Wei Huang, Bo Hu, Xiaoyan Sun, Feng Wu
IGD constructs a graph representing instance features and relations, transferring these two types of knowledge by enforcing instance graph consistency.
1 code implementation • 5 Jan 2024 • Qihua Chen, Xuejin Chen, Chenxuan Wang, Yixiong Liu, Zhiwei Xiong, Feng Wu
In this work, we aim to reduce human workload by predicting connectivity between over-segmented neuron pieces, taking both microscopy image and 3D morphology features into account, similar to human proofreading workflow.
no code implementations • 13 Dec 2023 • Xin Ding, Xiaoyu Liu, Zhijun Tu, Yun Zhang, Wei Li, Jie Hu, Hanting Chen, Yehui Tang, Zhiwei Xiong, Baoqun Yin, Yunhe Wang
Post-training quantization (PTQ) has played a key role in compressing large language models (LLMs) with ultra-low costs.
no code implementations • 30 Nov 2023 • Wenming Weng, Ruoyu Feng, Yanhui Wang, Qi Dai, Chunyu Wang, Dacheng Yin, Zhiyuan Zhao, Kai Qiu, Jianmin Bao, Yuhui Yuan, Chong Luo, Yueyi Zhang, Zhiwei Xiong
Second, it preserves the high-fidelity generation ability of the pre-trained image diffusion models by making only minimal network modifications.
1 code implementation • 19 Oct 2023 • Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong
To this end, we propose to learn a neural degradation representation (NDR) that captures the underlying characteristics of various degradations.
1 code implementation • 6 Oct 2023 • Yinda Chen, Wei Huang, Shenglong Zhou, Qi Chen, Zhiwei Xiong
By extracting semantic information from unlabeled data, self-supervised methods can improve the performance of downstream tasks, among which the mask image model (MIM) has been widely used due to its simplicity and effectiveness in recovering original information from masked images.
Multi-agent Reinforcement Learning reinforcement-learning +2
1 code implementation • ICCV 2023 • Yansong Peng, Yueyi Zhang, Zhiwei Xiong, Xiaoyan Sun, Feng Wu
Event cameras are a type of novel neuromorphic sen-sor that has been gaining increasing attention.
1 code implementation • 29 Sep 2023 • Yueyi Zhang, Jin Wang, Wenming Weng, Xiaoyan Sun, Zhiwei Xiong
In this paper, we approach video deraining by employing an event camera.
no code implementations • 6 Sep 2023 • Zhiwei Xiong, Yunfan Zhang, Zhiqi Shen, Peiran Ren, Han Yu
Image aesthetics assessment (IAA) aims to estimate the aesthetics of images.
no code implementations • 31 Aug 2023 • Qi Chen, Wei Huang, Yueyi Zhang, Zhiwei Xiong
In the second stage, we improve model generalizability on target data by regenerating square masks to get high-quality pseudo labels.
1 code implementation • ICCV 2023 • Mingde Yao, Jie Huang, Xin Jin, Ruikang Xu, Shenglong Zhou, Man Zhou, Zhiwei Xiong
Existing methods typically work well on their trained lightness conditions but perform poorly in unknown ones due to their limited generalization ability.
1 code implementation • 24 Aug 2023 • Yuanshen Guan, Ruikang Xu, Mingde Yao, Lizhi Wang, Zhiwei Xiong
Image fusion aims to generate a high-quality image from multiple images captured under varying conditions.
no code implementations • 19 Aug 2023 • Yinda Chen, Wei Huang, Xiaoyu Liu, Shiyu Deng, Qi Chen, Zhiwei Xiong
Instance segmentation in electron microscopy (EM) volumes is tough due to complex shapes and sparse annotations.
no code implementations • 7 Aug 2023 • Huimin Zeng, Weinong Wang, Xin Tao, Zhiwei Xiong, Yu-Wing Tai, Wenjie Pei
First, our model decouples the learning of source image semantics from the encoding of user guidance to process two types of input domains separately.
1 code implementation • 20 Jul 2023 • Hebei Li, Yueyi Zhang, Zhiwei Xiong, Zheng-Jun Zha, Xiaoyan Sun
Furthermore, we adopt a flow-based training method to fine-tune the converted models, reducing time steps while preserving performance.
1 code implementation • 8 Jul 2023 • Tong Li, Hansen Feng, Lizhi Wang, Zhiwei Xiong, Hua Huang
Image denoising is a fundamental problem in computational photography, where achieving high perception with low distortion is highly demanding.
no code implementations • 7 Jun 2023 • Yinda Chen, Che Liu, Wei Huang, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong
To address these challenges, we present Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation (GTGM), a framework that extends of VLP to 3D medical images without relying on paired textual descriptions.
1 code implementation • 30 May 2023 • Zeyu Xiao, Ruisheng Gao, Yutong Liu, Yueyi Zhang, Zhiwei Xiong
Deep learning has opened up new possibilities for light field super-resolution (SR), but existing methods trained on synthetic datasets with simple degradations (e. g., bicubic downsampling) suffer from poor performance when applied to complex real-world scenarios.
no code implementations • 23 May 2023 • Zeyu Xiao, Jiawang Bai, Zhihe Lu, Zhiwei Xiong
This motivates the investigation and incorporation of prior knowledge in order to effectively constrain the solution space and enhance the quality of the restored images.
no code implementations • 11 May 2023 • Zhihe Lu, Zeyu Xiao, Jiawang Bai, Zhiwei Xiong, Xinchao Wang
To use the SAM-based prior, we propose a simple yet effective module -- SAM-guidEd refinEment Module (SEEM), which can enhance both alignment and fusion procedures by the utilization of semantic information.
1 code implementation • 8 Apr 2023 • Huimin Zeng, Jie Huang, Jiacheng Li, Zhiwei Xiong
Specifically, we propose a region-aware retouching framework with two branches: an automatic branch and an interactive branch.
no code implementations • CVPR 2023 • Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldřich Kodym, Michal Kozubek, Jianning Li, Hongwei Li, Jun Ma, Carlos Martín-Isla, Bjoern Menze, Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patiño, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin Van Wijnen, Martin Wagner, Donglai Wei, Amine Yamlahi, Moi Hoon Yap, Chun Yuan, Maximilian Zenk, Aneeq Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, Jihoon Cho, Chanyeol Choi, Qi Dou, Ivan Ezhov, Christoph M. Friedrich, Clifton Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García Faura, Maria Grammatikopoulou, SeulGi Hong, Mostafa Jahanifar, Ikbeom Jang, Abdolrahim Kadkhodamohammadi, Inha Kang, Florian Kofler, Satoshi Kondo, Hugo Kuijf, Mingxing Li, Minh Huan Luu, Tomaž Martinčič, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, Subeen Pang, Jinah Park, Sung-Hong Park, Szymon Płotka, Elodie Puybareau, Nasir Rajpoot, Kanghyun Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Štepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Helene Urien, João L. Vilaça, Kareem Abdul Wahid, Haojie Wang, Jiacheng Wang, Liansheng Wang, Xiyue Wang, Benedikt Wiestler, Marek Wodzinski, Fangfang Xia, Juanying Xie, Zhiwei Xiong, Sen yang, Yanwu Yang, Zixuan Zhao, Klaus Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein
The "typical" lead of a winning team is a computer scientist with a doctoral degree, five years of experience in biomedical image analysis, and four years of experience in deep learning.
1 code implementation • 25 Mar 2023 • Jiacheng Li, Chang Chen, Zhen Cheng, Zhiwei Xiong
However, the size of a single LUT grows exponentially with the increase of its indexing capacity, which restricts its receptive field and thus the performance.
1 code implementation • ICCV 2023 • Jin Wang, Wenming Weng, Yueyi Zhang, Zhiwei Xiong
Current unsupervised video deraining methods are inefficient in modeling the intricate spatio-temporal properties of rain, which leads to unsatisfactory results.
no code implementations • CVPR 2023 • Wei Huang, Chang Chen, Yong Li, Jiacheng Li, Cheng Li, Fenglong Song, Youliang Yan, Zhiwei Xiong
In contrast to existing methods, we instead utilize the difference between images to build a better representation space, where the distinct style features are extracted and stored as the bases of representation.
no code implementations • CVPR 2023 • Ruikang Xu, Chang Chen, Jingyang Peng, Cheng Li, Yibin Huang, Fenglong Song, Youliang Yan, Zhiwei Xiong
In many computer vision applications (e. g., robotics and autonomous driving), high dynamic range (HDR) data is necessary for object detection algorithms to handle a variety of lighting conditions, such as strong glare.
no code implementations • ICCV 2023 • Yuwen Pan, Naisong Luo, Rui Sun, Meng Meng, Tianzhu Zhang, Zhiwei Xiong, Yongdong Zhang
Mitochondria, as tiny structures within the cell, are of significant importance to study cell functions for biological and clinical analysis.
no code implementations • CVPR 2023 • Jie Huang, Feng Zhao, Man Zhou, Jie Xiao, Naishan Zheng, Kaiwen Zheng, Zhiwei Xiong
Exposure correction task aims to correct the underexposure and its adverse overexposure images to the normal exposure in a single network.
1 code implementation • CVPR 2023 • Xiaoyu Liu, Bo Hu, Mingxing Li, Wei Huang, Yueyi Zhang, Zhiwei Xiong
Finally, we provide quantitative and qualitative benchmark comparisons on the testset to validate the superiority of the proposed method, as well as preliminary statistics of the reconstructed somas in the full adult fly brain from the biological perspective.
1 code implementation • CVPR 2023 • Wenming Weng, Yueyi Zhang, Zhiwei Xiong
Therefore, we first propose an exposure estimation strategy guided by event streams to estimate the lost exposure prior, transforming the blind exposure problem well-posed.
no code implementations • CVPR 2023 • Naisong Luo, Yuwen Pan, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu
To address these challenges, we propose a novel De-camouflaging Network (DCNet) including a pixel-level camouflage decoupling module and an instance-level camouflage suppression module.
no code implementations • CVPR 2023 • Jiacheng Li, Chang Chen, Wei Huang, Zhiqiang Lang, Fenglong Song, Youliang Yan, Zhiwei Xiong
Image resampling is a basic technique that is widely employed in daily applications.
1 code implementation • CVPR 2023 • Ruikang Xu, Mingde Yao, Zhiwei Xiong
To overcome these two challenges, we propose a degradation-invariant alignment method and a degradation-aware training strategy to fully exploit the information within a single dual-lens pair.
no code implementations • CVPR 2023 • Yajing Liu, Yuning Lu, Hao liu, Yaozu An, Zhuoran Xu, Zhuokun Yao, Baofeng Zhang, Zhiwei Xiong, Chenguang Gui
Considering this, we present Hierarchical Prompt (HiPro) learning, a simple and effective method for jointly adapting a pre-trained VLM to multiple downstream tasks.
1 code implementation • CVPR 2023 • Zeyu Xiao, Yutong Liu, Ruisheng Gao, Zhiwei Xiong
For the first time in light field SR, we propose a potent DA strategy called CutMIB to improve the performance of existing light field SR networks while keeping their structures unchanged.
no code implementations • CVPR 2023 • Yue Li, Jiayong Peng, Juntian Ye, Yueyi Zhang, Feihu Xu, Zhiwei Xiong
Specifically, after extracting the shallow features with the assistance of physics-based priors, we design two spatial-temporal self attention encoders to explore both local and global correlations within 3D NLOS data by splitting or downsampling the features into different scales, respectively.
no code implementations • CVPR 2023 • Huayu Mai, Rui Sun, Tianzhu Zhang, Zhiwei Xiong, Feng Wu
Automatic mitochondria segmentation enjoys great popularity with the development of deep learning.
1 code implementation • CVPR 2023 • Xueyan Huang, Yueyi Zhang, Zhiwei Xiong
In addition, a dynamic batch size strategy is applied to adaptively adjust the batch size so that all events in the batch are consistent with the current motion model.
1 code implementation • CVPR 2023 • Wenjie Chang, Yueyi Zhang, Zhiwei Xiong
Depth estimation from indoor panoramas is challenging due to the equirectangular distortions of panoramas and inaccurate matching.
1 code implementation • ICCV 2023 • Xiaoyu Liu, Wei Huang, Zhiwei Xiong, Shenglong Zhou, Yueyi Zhang, Xuejin Chen, Zheng-Jun Zha, Feng Wu
Sparse instance-level supervision has recently been explored to address insufficient annotation in biomedical instance segmentation, which is easier to annotate crowded instances and better preserves instance completeness for 3D volumetric datasets compared to common semi-supervision. In this paper, we propose a sparsely supervised biomedical instance segmentation framework via cross-representation affinity consistency regularization.
no code implementations • 6 Nov 2022 • Zhen Cheng, Tao Wang, Yong Li, Fenglong Song, Chang Chen, Zhiwei Xiong
To solve this problem, we propose a learning-based data synthesis approach to learn the properties of real-world SDRTVs by integrating several tone mapping priors into both network structures and loss functions.
no code implementations • 24 Oct 2022 • Dacheng Yin, Zhiyuan Zhao, Chuanxin Tang, Zhiwei Xiong, Chong Luo
In this paper, we present TridentSE, a novel architecture for speech enhancement, which is capable of efficiently capturing both global information and local details.
1 code implementation • 15 Sep 2022 • Gang Yang, Li Zhang, Man Zhou, Aiping Liu, Xun Chen, Zhiwei Xiong, Feng Wu
Interpretable neural network models are of significant interest since they enhance the trustworthiness required in clinical practice when dealing with medical images.
no code implementations • 28 Jun 2022 • Dacheng Yin, Chuanxin Tang, Yanqing Liu, Xiaoqiang Wang, Zhiyuan Zhao, Yucheng Zhao, Zhiwei Xiong, Sheng Zhao, Chong Luo
In the proposed paradigm, global and local factors in speech are explicitly decomposed and separately manipulated to achieve high speaker similarity and continuous prosody.
1 code implementation • CVPR 2022 • Mingxing Li, Li Hu, Zhiwei Xiong, Bang Zhang, Pan Pan, Dong Liu
In this paper, we propose a Recurrent Dynamic Embedding (RDE) to build a memory bank of constant size.
Ranked #16 on Semi-Supervised Video Object Segmentation on MOSE
no code implementations • CVPR 2022 • Xihao Chen, Zhiwei Xiong, Zhen Cheng, Jiayong Peng, Yueyi Zhang, Zheng-Jun Zha
Interestingly, we find that, although a stereo matching network trained with the photometric loss is not optimal, its feature extractor can produce degradation-agnostic and matching-specific features.
no code implementations • 11 Mar 2022 • Dongmei Xue, Haichuan Ma, Li Li, Dong Liu, Zhiwei Xiong
Volumetric image compression has become an urgent task to effectively transmit and store images produced in biological research and clinical practice.
2 code implementations • ICLR 2022 • Dacheng Yin, Xuanchi Ren, Chong Luo, Yuwang Wang, Zhiwei Xiong, Wenjun Zeng
Last, an innovative link attention module serves as the decoder to reconstruct data from the decomposed content and style, with the help of the linking keys.
1 code implementation • 3 Feb 2022 • Mingxing Li, Shenglong Zhou, Chang Chen, Yueyi Zhang, Dong Liu, Zhiwei Xiong
Accurate retinal vessel segmentation is challenging because of the complex texture of retinal vessels and low imaging contrast.
2 code implementations • AAAI 2022 • Yurui Zhu, Zeyu Xiao, Yanchi Fang, Xueyang Fu, Zhiwei Xiong, Zheng-Jun Zha
To address these issues, we first propose a new shadow illumination model for the shadow removal task.
no code implementations • CVPR 2022 • Guanting Dong, Yueyi Zhang, HanLin Li, Xiaoyan Sun, Zhiwei Xiong
Previous LiDAR scene flow estimation methods, especially recurrent neural networks, usually suffer from structure distortion in challenging cases, such as sparse reflection and motion occlusions.
no code implementations • CVPR 2022 • Jiacheng Li, Chang Chen, Zhiwei Xiong
To model the contextual correlation between foreground and background contents, we incorporate an object-level contrastive loss to regularize the learning of cross-modal representations of foreground contents and the corresponding background semantic layout, facilitating accurate semantic reasoning.
no code implementations • CVPR 2022 • Lingen Li, Lizhi Wang, Weitao Song, Lei Zhang, Zhiwei Xiong, Hua Huang
In this paper, we propose the quantization-aware deep optics for diffractive snapshot hyperspectral imaging.
no code implementations • CVPR 2022 • Jie Huang, Yajing Liu, Xueyang Fu, Man Zhou, Yang Wang, Feng Zhao, Zhiwei Xiong
However, the procedures of correcting underexposure and overexposure to normal exposures are much different from each other, leading to large discrepancies for the network in correcting multiple exposures, thus resulting in poor performance.
no code implementations • 24 Dec 2021 • Ruikang Xu, Mingde Yao, Chang Chen, Lizhi Wang, Zhiwei Xiong
In this paper, we propose Neural Spectral Reconstruction (NeSR) to lift this limitation, by introducing a novel continuous spectral representation.
no code implementations • 1 Dec 2021 • Xihua Sheng, Li Li, Dong Liu, Zhiwei Xiong
In this paper, we propose a Multi-Scale Graph Attention Network (MS-GAT) to remove the artifacts of point cloud attributes compressed by G-PCC.
no code implementations • 25 Sep 2021 • Zhili Li, Xuejin Chen, Jie Zhao, Zhiwei Xiong
However, due to the image degradation during the imaging process, the large variety of mitochondrial structures, as well as the presence of noise, artifacts and other sub-cellular structures, mitochondria segmentation is very challenging.
no code implementations • 18 Sep 2021 • Dongmei Xue, Haichuan Ma, Li Li, Dong Liu, Zhiwei Xiong
With the rapid development of whole brain imaging technology, a large number of brain images have been produced, which puts forward a great demand for efficient brain image compression methods.
no code implementations • 16 Sep 2021 • Jiayong Peng, Fangzhou Mu, Ji Hyun Nam, Siddeshwar Raghavan, Yin Li, Andreas Velten, Zhiwei Xiong
Non-line-of-sight (NLOS) imaging is based on capturing the multi-bounce indirect reflections from the hidden objects.
no code implementations • NeurIPS 2021 • Man Zhou, Zeyu Xiao, Xueyang Fu, Aiping Liu, Gang Yang, Zhiwei Xiong
Deep learning provides a new avenue for image restoration, which demands a delicate balance between fine-grained details and high-level contextualized information during recovering the latent clear image.
no code implementations • CVPR 2021 • Zeyu Xiao, Xueyang Fu, Jie Huang, Zhen Cheng, Zhiwei Xiong
In this paper, we aim to improve the performance of compact VSR networks without changing their original architectures, through a knowledge distillation approach that transfers knowledge from a complicated VSR network to a compact one.
no code implementations • CVPR 2021 • Zhen Cheng, Zhiwei Xiong, Chang Chen, Dong Liu, Zheng-Jun Zha
To fill this gap, we propose a zero-shot learning framework for light field SR, which learns a mapping to super-resolve the reference view with examples extracted solely from the input low-resolution light field itself.
1 code implementation • 11 May 2021 • Ruikang Xu, Zeyu Xiao, Jie Huang, Yueyi Zhang, Zhiwei Xiong
Image deblurring has seen a great improvement with the development of deep neural networks.
1 code implementation • CVPR 2021 • Guangting Wang, Yizhou Zhou, Chong Luo, Wenxuan Xie, Wenjun Zeng, Zhiwei Xiong
The proxy task is to estimate the position and size of the image patch in a sequence of video frames, given only the target bounding box in the first frame.
1 code implementation • 16 Apr 2021 • Mingxing Li, Chang Chen, Xiaoyu Liu, Wei Huang, Yueyi Zhang, Zhiwei Xiong
Mitochondria instance segmentation from electron microscopy (EM) images has seen notable progress since the introduction of deep learning methods.
Ranked #1 on 3D Instance Segmentation on MitoEM
no code implementations • 8 Apr 2021 • Yajing Liu, Xiulian Peng, Zhiwei Xiong, Yan Lu
Specifically, we propose a phoneme-based distribution regularization (PbDr) for speech enhancement, which incorporates frame-wise phoneme information into speech enhancement network in a conditional manner.
no code implementations • 24 Feb 2021 • Shunxin Xu, Ke Sun, Dong Liu, Zhiwei Xiong, Zheng-Jun Zha
We observe that not only denoising helps combat the drop of segmentation accuracy due to noise, but also pixel-wise semantic information boosts the capability of denoising.
1 code implementation • ICCV 2021 • Wenming Weng, Yueyi Zhang, Zhiwei Xiong
Event cameras, which output events by detecting spatio-temporal brightness changes, bring a novel paradigm to image sensors with high dynamic range and low latency.
Ranked #2 on Event-based Object Segmentation on DSEC-SEG
Event-based Object Segmentation Event-Based Video Reconstruction +1
no code implementations • CVPR 2020 • Guangting Wang, Chong Luo, Xiaoyan Sun, Zhiwei Xiong, Wen-Jun Zeng
We propose a principled three-step approach to build a high-performance tracker.
1 code implementation • CVPR 2020 • Chang Chen, Zhiwei Xiong, Xiaoming Liu, Feng Wu
To reconcile these two demands, we propose Siamese Trace Erasing (SiamTE), in which a novel hybrid loss is designed on the basis of Siamese architecture for network training.
no code implementations • 13 Mar 2020 • Haochen Zhang, Dong Liu, Zhiwei Xiong
Recent advances of deep learning lead to great success of image and video super-resolution (SR) methods that are based on convolutional neural networks (CNN).
no code implementations • 26 Nov 2019 • Yang Wang, Yang Cao, Zheng-Jun Zha, Jing Zhang, Zhiwei Xiong, Wei zhang, Feng Wu
Contrast enhancement and noise removal are coupled problems for low-light image enhancement.
4 code implementations • Applications of Artificial Intelligence Conference 2019 • Dacheng Yin, Chong Luo, Zhiwei Xiong, Wen-Jun Zeng
We discover that the two streams should communicate with each other, and this is crucial to phase prediction.
Sound Audio and Speech Processing
no code implementations • NeurIPS 2019 • Dong Liu, Haochen Zhang, Zhiwei Xiong
In this paper, we extend the previous perception-distortion tradeoff to the case of classification-distortion-perception (CDP) tradeoff, where we introduced the classification error rate of the restored signal in addition to distortion and perceptual difference.
no code implementations • CVPR 2019 • Guangting Wang, Chong Luo, Zhiwei Xiong, Wen-Jun Zeng
The two stages are connected in series as the input proposals of the FM stage are generated by the CM stage.
1 code implementation • CVPR 2019 • Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu
Existing methods for single image super-resolution (SR) are typically evaluated with synthetic degradation models such as bicubic or Gaussian downsampling.
1 code implementation • ICCV 2019 • Haochen Zhang, Dong Liu, Zhiwei Xiong
Tailored for two-stream action recognition networks, we propose two video SR methods for the spatial and temporal streams respectively.
no code implementations • 19 Nov 2018 • Jiawei Liu, Zheng-Jun Zha, Hongtao Xie, Zhiwei Xiong, Yongdong Zhang
An appearance network is developed to learn appearance features from the full body, horizontal and vertical body parts of pedestrians with spatial dependencies among body parts.
no code implementations • ECCV 2018 • Chang Chen, Zhiwei Xiong, Xinmei Tian, Feng Wu
Boosting is a classic algorithm which has been successfully applied to diverse computer vision tasks.
no code implementations • CVPR 2017 • Zhiwei Xiong, Lizhi Wang, Huiqun Li, Dong Liu, Feng Wu
This paper presents the first snapshot hyperspectral light field imager in practice.
no code implementations • 3 May 2016 • Mading Li, Jiaying Liu, Zhiwei Xiong, Xiaoyan Sun, Zongming Guo
In this paper, we propose a novel multiplanar autoregressive (AR) model to exploit the correlation in cross-dimensional planes of a similar patch group collected in an image, which has long been neglected by previous AR models.
no code implementations • CVPR 2015 • Lizhi Wang, Zhiwei Xiong, Dahua Gao, Guangming Shi, Wen-Jun Zeng, Feng Wu
We propose a novel dual-camera design to acquire 4D high-speed hyperspectral (HSHS) videos with high spatial and spectral resolution.
no code implementations • CVPR 2013 • Zhe Yang, Zhiwei Xiong, Yueyi Zhang, Jiao Wang, Feng Wu
First, we propose an algorithm to design the patterns to carry more phase information without compromising the depth reconstruction from a single captured image as with Kinect.