no code implementations • ICML 2020 • Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
There are existing efforts that model the training dynamics of GANs in the parameter space but the analysis cannot directly motivate practically effective stabilizing methods.
2 code implementations • 8 Mar 2024 • Haoyu Lu, Wen Liu, Bo Zhang, Bingxuan Wang, Kai Dong, Bo Liu, Jingxiang Sun, Tongzheng Ren, Zhuoshu Li, Hao Yang, Yaofeng Sun, Chengqi Deng, Hanwei Xu, Zhenda Xie, Chong Ruan
The DeepSeek-VL family (both 1. 3B and 7B models) showcases superior user experiences as a vision-language chatbot in real-world applications, achieving state-of-the-art or competitive performance across a wide range of visual-language benchmarks at the same model size while maintaining robust performance on language-centric benchmarks.
Ranked #23 on Visual Question Answering on MM-Vet
1 code implementation • 1 Mar 2024 • Xiangxiang Chu, Jianlin Su, Bo Zhang, Chunhua Shen
Large language models are built on top of a transformer-based architecture to process textual inputs.
1 code implementation • 28 Feb 2024 • Wei zhang, Hongcheng Guo, Anjie Le, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Shi Xu, Runqiang Zang, Liangfan Zheng, Bo Zhang
Log parsing, which entails transforming raw log messages into structured templates, constitutes a critical phase in the automation of log analytics.
1 code implementation • 22 Feb 2024 • Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li
Specifically, we propose, for the first time to our best knowledge, post-training approaches for task-agnostic and task-specific expert pruning and skipping of MoE LLMs, tailored to improve deployment efficiency while maintaining model performance across a wide range of tasks.
1 code implementation • 19 Feb 2024 • Renqiu Xia, Bo Zhang, Hancheng Ye, Xiangchao Yan, Qi Liu, Hongbin Zhou, Zijun Chen, Min Dou, Botian Shi, Junchi Yan, Yu Qiao
Recently, many versatile Multi-modal Large Language Models (MLLMs) have emerged continuously.
1 code implementation • 6 Feb 2024 • Guohang Yan, Jiahao Pi, Jianfei Guo, Zhaotong Luo, Min Dou, Nianchen Deng, Qiusheng Huang, Daocheng Fu, Licheng Wen, Pinlong Cai, Xing Gao, Xinyu Cai, Bo Zhang, Xuemeng Yang, Yeqi Bai, Hongbin Zhou, Botian Shi
With the development of implicit rendering technology and in-depth research on using generative models to produce data at scale, we propose OASim, an open and adaptive simulator and autonomous driving data generator based on implicit neural rendering.
no code implementations • 6 Feb 2024 • Zhanpeng Zhou, Zijun Chen, Yilan Chen, Bo Zhang, Junchi Yan
The pretraining-finetuning paradigm has become the prevailing trend in modern deep learning.
1 code implementation • 6 Feb 2024 • Xiangxiang Chu, Limeng Qiao, Xinyu Zhang, Shuang Xu, Fei Wei, Yang Yang, Xiaofei Sun, Yiming Hu, Xinyang Lin, Bo Zhang, Chunhua Shen
We introduce MobileVLM V2, a family of significantly improved vision language models upon MobileVLM, which proves that a delicate orchestration of novel architectural design, an improved training scheme tailored for mobile VLMs, and rich high-quality dataset curation can substantially benefit VLMs' performance.
1 code implementation • 29 Jan 2024 • Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu
To our knowledge, for the very first time in lidar-based 3D detection tasks, the PTQ INT8 model's accuracy is almost the same as the FP32 model while enjoying $3\times$ inference speedup.
no code implementations • 15 Jan 2024 • Runqiang Zang, Hongcheng Guo, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Xu Shi, Liangfan Zheng, Bo Zhang
In spite of the rapid advancements in unsupervised log anomaly detection techniques, the current mainstream models still necessitate specific training for individual system datasets, resulting in costly procedures and limited scalability due to dataset size, thereby leading to performance bottlenecks.
1 code implementation • 9 Jan 2024 • Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang, Zhoujun Li, Tieqiao Zheng, Bo Zhang, Junran Peng, Qi Tian
Log anomaly detection is a key component in the field of artificial intelligence for IT operations (AIOps).
no code implementations • 6 Jan 2024 • Bo Zhang, Yuqi Han, Jinli Suo, Qionghai Dai
Event cameras or dynamic vision sensors (DVS) record asynchronous response to brightness changes instead of conventional intensity frames, and feature ultra-high sensitivity at low bandwidth.
1 code implementation • 28 Dec 2023 • Xiangxiang Chu, Limeng Qiao, Xinyang Lin, Shuang Xu, Yang Yang, Yiming Hu, Fei Wei, Xinyu Zhang, Bo Zhang, Xiaolin Wei, Chunhua Shen
We present MobileVLM, a competent multimodal vision language model (MMVLM) targeted to run on mobile devices.
no code implementations • 21 Dec 2023 • Jingdong Zhang, Jiayuan Fan, Peng Ye, Bo Zhang, Hancheng Ye, Baopu Li, Yancheng Cai, Tao Chen
In this work, we propose to learn a comprehensive intermediate feature globally from both task-generic and task-specific features, we reveal an important fact that this intermediate feature, namely the bridge feature, is a good solution to the above issues.
no code implementations • 12 Dec 2023 • Yuanbin Wang, Shaofei Huang, Yulu Gao, Zhen Wang, Rui Wang, Kehua Sheng, Bo Zhang, Si Liu
In this work, we focus on zero-shot point cloud semantic segmentation and propose a simple yet effective baseline to transfer the visual-linguistic knowledge implied in CLIP to point cloud encoder at both feature and output levels.
1 code implementation • 7 Dec 2023 • Xin Li, Yeqi Bai, Pinlong Cai, Licheng Wen, Daocheng Fu, Bo Zhang, Xuemeng Yang, Xinyu Cai, Tao Ma, Jianfei Guo, Xing Gao, Min Dou, Yikang Li, Botian Shi, Yong liu, Liang He, Yu Qiao
This paper explores the emerging knowledge-driven autonomous driving technologies.
1 code implementation • 5 Dec 2023 • Fei Wei, Xinyu Zhang, Ailing Zhang, Bo Zhang, Xiangxiang Chu
To evaluate the reasoning capability of Lenna, we construct a ReasonDet dataset to measure its performance on reasoning-based detection.
no code implementations • 20 Nov 2023 • Yiming Hu, Xiangxiang Chu, Bo Zhang
Neural Architecture Search (NAS) currently relies heavily on labeled data, which is both expensive and time-consuming to acquire.
no code implementations • 16 Nov 2023 • Qingyuan Li, Ran Meng, Yiduo Li, Bo Zhang, Liang Li, Yifan Lu, Xiangxiang Chu, Yerui Sun, Yuchen Xie
The large language model era urges faster and less costly inference.
1 code implementation • 6 Nov 2023 • Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang
Based on this, we propose a relative structural entropy-based position encoding and a multi-head attention masking scheme based on multi-layer encoding trees.
1 code implementation • 31 Oct 2023 • Hui Ma, Jian Wang, Hongfei Lin, Bo Zhang, Yijia Zhang, Bo Xu
Emotion recognition in conversations (ERC), the task of recognizing the emotion of each utterance in a conversation, is crucial for building empathetic machines.
no code implementations • 26 Oct 2023 • Junhong Gou, Bo Zhang, Li Niu, Jianfu Zhang, Jianlou Si, Chen Qian, Liqing Zhang
Specifically, our approach learns the human body priors and hallucinates the target locations of specified foreground keypoints in the background.
no code implementations • 25 Oct 2023 • Dui Wang, Xiangyu Hou, XiaoHui Yang, Bo Zhang, Renbing Chen, Daiyue Xue
Recommendation system (RS) plays significant roles in matching users information needs for Internet applications, and it usually utilizes the vanilla neural network as the backbone to handle embedding details.
1 code implementation • 25 Oct 2023 • Jingxiang Sun, Bo Zhang, Ruizhi Shao, Lizhen Wang, Wen Liu, Zhenda Xie, Yebin Liu
The score distillation from this 3D-aware diffusion prior provides view-consistent guidance for the scene.
1 code implementation • 23 Oct 2023 • Houquan Zhou, Yumeng Liu, Zhenghua Li, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang
In this paper, we propose a unified decoding intervention framework that employs an external critic to assess the appropriateness of the token to be generated incrementally, and then dynamically influence the choice of the next token.
Ranked #1 on Grammatical Error Correction on MuCGEC
no code implementations • 27 Sep 2023 • Lingxiao Lu, Jiangtong Li, Bo Zhang, Li Niu
The goal of image composition is merging a foreground object into a background image to obtain a realistic composite image.
1 code implementation • 20 Sep 2023 • Renqiu Xia, Bo Zhang, Haoyang Peng, Hancheng Ye, Xiangchao Yan, Peng Ye, Botian Shi, Yu Qiao, Junchi Yan
Charts are common in literature across different scientific fields, conveying rich information easily accessible to readers.
Ranked #17 on Chart Question Answering on ChartQA (using extra training data)
1 code implementation • 19 Sep 2023 • Shaocong Xu, Pengfei Li, Xinyu Liu, Qianpu Sun, Yang Li, Shihui Guo, Zhen Wang, Bo Jiang, Rui Wang, Kehua Sheng, Bo Zhang, Hao Zhao
We demonstrate that learning different abstaining penalties, apart from point-wise penalty, for different types of (synthesized) outliers can further improve the performance.
1 code implementation • 19 Sep 2023 • Xiangchao Yan, Runjian Chen, Bo Zhang, Jiakang Yuan, Xinyu Cai, Botian Shi, Wenqi Shao, Junchi Yan, Ping Luo, Yu Qiao
Our contributions are threefold: (1) Occupancy prediction is shown to be promising for learning general representations, which is demonstrated by extensive experiments on plenty of datasets and tasks.
no code implementations • 17 Sep 2023 • Hongcheng Guo, Jian Yang, Jiaheng Liu, Liqun Yang, Linzheng Chai, Jiaqi Bai, Junran Peng, Xiaorong Hu, Chao Chen, Dongfeng Zhang, Xu Shi, Tieqiao Zheng, Liangfan Zheng, Bo Zhang, Ke Xu, Zhoujun Li
However, there is a lack of specialized LLMs for IT operations.
1 code implementation • 15 Sep 2023 • Yancheng Cai, Bo Zhang, Baopu Li, Tao Chen, Hongliang Yan, Jingdong Zhang, Jiahao Xu
Therefore, we focus on cross-domain background feature alignment while minimizing the influence of foreground features on the cross-domain alignment stage.
2 code implementations • 11 Sep 2023 • Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao
Domain shifts such as sensor type changes and geographical situation variations are prevalent in Autonomous Driving (AD), which poses a challenge since AD model relying on the previous domain knowledge can be hardly directly deployed to a new domain without additional costs.
no code implementations • 6 Sep 2023 • Liang Li, Qingyuan Li, Bo Zhang, Xiangxiang Chu
On GLM-130B and OPT-66B, our method even achieves the same level of accuracy at 2-bit quantization as their float ones.
no code implementations • 30 Aug 2023 • Qingyuan Li, Yifan Zhang, Liang Li, Peng Yao, Bo Zhang, Xiangxiang Chu, Yerui Sun, Li Du, Yuchen Xie
In this study, we propose a novel W4A8 post-training quantization method for the available open-sourced LLMs, which combines the advantages of both two recipes.
1 code implementation • 19 Aug 2023 • Bo Zhang, Yuxuan Duan, Jun Lan, Yan Hong, Huijia Zhu, Weiqiang Wang, Li Niu
To address these challenges, we propose a controllable image composition method that unifies four tasks in one diffusion model: image blending, image harmonization, view synthesis, and generative composition.
1 code implementation • ICCV 2023 • Bo Zhang, Jiacheng Sui, Li Niu
Additionally, previous works did not release their datasets, so we contribute two datasets for FOS task: S-FOSD dataset with synthetic composite images and R-FOSD dataset with real composite images.
1 code implementation • 1 Aug 2023 • Bo Zhang, Jian Wang, Hui Ma, Bo Xu, Hongfei Lin
To overcome this challenge, we propose an innovative multimodal framework, called ZRIGF, which assimilates image-grounded information for dialogue generation in zero-resource situations.
no code implementations • 8 Jul 2023 • Beibin Li, Konstantina Mellou, Bo Zhang, Jeevan Pathuri, Ishai Menache
Supply chain operations traditionally involve a variety of complex decision making problems.
1 code implementation • CVPR 2023 • Zhanhao Hu, Wenda Chu, Xiaopei Zhu, HUI ZHANG, Bo Zhang, Xiaolin Hu
In order to craft natural-looking adversarial clothes that can evade person detectors at multiple viewing angles, we propose adversarial camouflage textures (AdvCaT) that resemble one kind of the typical textures of daily clothes, camouflage textures.
no code implementations • 4 Jul 2023 • Wei zhang, Ping Zhang, Jian Dong, Yongkang Wang, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang
The effectiveness of ad creatives is greatly influenced by their visual appearance.
no code implementations • 26 Jun 2023 • Wei zhang, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang
The disadvantage of the former is that the data from other domains is not utilized by a single domain model, while the latter leverage all the data from different domains, but the fine-tuned model of transfer learning may trap the model in a local optimum of the source domain, making it difficult to fit the target domain.
2 code implementations • 24 Jun 2023 • Yanai Elazar, Jiayao Zhang, David Wadden, Bo Zhang, Noah A. Smith
However, since quality is a challenging construct to estimate, we use the negative outcome control method, using paper citation count as a control variable to debias the quality confounding effect.
no code implementations • 5 Jun 2023 • Huinan Sun, Guangliang Yu, Pengye Zhang, Bo Zhang, Xingxing Wang, Dong Wang
It consists of a multi-interest graph structure for capturing long-term user behavior, a multi-scenario heterogeneous sequence model for modeling short-term information, then an adaptive fusion mechanism to fused information from long-term and short-term behaviors.
1 code implementation • NeurIPS 2023 • Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, Yu Qiao
It is a long-term vision for Autonomous Driving (AD) community that the perception models can learn from a large-scale point cloud dataset, to obtain unified representations that can achieve promising results on different tasks or benchmarks.
1 code implementation • 28 May 2023 • Zhanhao Hu, Jun Zhu, Bo Zhang, Xiaolin Hu
Recent works found that deep neural networks (DNNs) can be fooled by adversarial examples, which are crafted by adding adversarial noise on clean inputs.
1 code implementation • 25 May 2023 • Yue Zhang, Bo Zhang, Haochen Jiang, Zhenghua Li, Chen Li, Fei Huang, Min Zhang
We introduce NaSGEC, a new dataset to facilitate research on Chinese grammatical error correction (CGEC) for native speaker texts from multiple domains.
2 code implementations • 16 May 2023 • Siyuan Huang, Bo Zhang, Botian Shi, Peng Gao, Yikang Li, Hongsheng Li
In this paper, different from previous 2D DG works, we focus on the 3D DG problem and propose a Single-dataset Unified Generalization (SUG) framework that only leverages a single source dataset to alleviate the unforeseen domain differences faced by a well-trained source model.
no code implementations • 6 May 2023 • Boyang Wang, DingFan Zhang, Tingyu Zhang, Chayanis Sutcharitchan, Jianlin Hua, Dongfang Hua, Bo Zhang, Shao Li
Network target analysis was performed to explore the potential mechanisms of YQTQP in the treatment of AR and the mechanisms were classified into different modules according to their biological functions.
no code implementations • 20 Apr 2023 • Haoyang Peng, Baopu Li, Bo Zhang, Xin Chen, Tao Chen, Hongyuan Zhu
Then, a novel multi-view prompt fusion module is developed to effectively fuse information from different views to bridge the gap between 3D point cloud data and 2D pre-trained models.
no code implementations • 17 Apr 2023 • Xiao Sun, Bo Zhang, Chenrui Zhang, Han Ren, Mingchen Cai
AUC is a common metric for evaluating the performance of a classifier.
1 code implementation • CVPR 2023 • Xinyu Liu, Beiwen Tian, Zhen Wang, Rui Wang, Kehua Sheng, Bo Zhang, Hao Zhao, Guyue Zhou
Thanks to the impressive progress of large-scale vision-language pretraining, recent recognition models can classify arbitrary objects in a zero-shot and open-set manner, with a surprisingly high accuracy.
no code implementations • CVPR 2023 • Ben Fei, Zhaoyang Lyu, Liang Pan, Junzhe Zhang, Weidong Yang, Tianyue Luo, Bo Zhang, Bo Dai
Besides, we devise hierarchical guidance and patch-based methods, enabling the GDP to generate images of arbitrary resolutions.
1 code implementation • 31 Mar 2023 • Chuangguan Ye, Hongyuan Zhu, Bo Zhang, Tao Chen
In recent years, research on few-shot learning (FSL) has been fast-growing in the 2D image domain due to the less requirement for labeled training data and greater generalization for novel classes.
2 code implementations • ICCV 2023 • Junshu Tang, Tengfei Wang, Bo Zhang, Ting Zhang, Ran Yi, Lizhuang Ma, Dong Chen
In this work, we investigate the problem of creating high-fidelity 3D content from only a single image.
no code implementations • 24 Mar 2023 • Bo Zhang, Boyu Jiang, Rong Zheng, XiaoPing Zhang, Jun Li, Qiang Xu
In this paper, we address these limitations and present "Pi-ViMo", a non-contact Physiology-inspired Robust Vital Sign Monitoring system, using mmWave radars.
no code implementations • 23 Mar 2023 • Bo Zhang, Zuheng Ming, Wei Feng, Yaqian Liu, Liang He, Kaixing Zhao
To benefit the complementary information between heterogeneous data, we introduce a new Multimodal Transformer (MMFormer) for Remote Sensing (RS) image classification using Hyperspectral Image (HSI) accompanied by another source of data such as Light Detection and Ranging (LiDAR).
no code implementations • ICCV 2023 • Tianhang Wang, Guang Chen, Kai Chen, Zhengfa Liu, Bo Zhang, Alois Knoll, Changjun Jiang
To verify our algorithm, we conducted experiments on the V2X-Sim and OPV2V datasets.
1 code implementation • 21 Mar 2023 • Hancheng Ye, Bo Zhang, Tao Chen, Jiayuan Fan, Bin Wang
Global channel pruning (GCP) aims to remove a subset of channels (filters) across different layers from a deep model without hurting the performance.
1 code implementation • CVPR 2023 • Bo Zhang, Jiakang Yuan, Botian Shi, Tao Chen, Yikang Li, Yu Qiao
In this paper, we study the task of training a unified 3D detector from multiple datasets.
1 code implementation • CVPR 2023 • Jiakang Yuan, Bo Zhang, Xiangchao Yan, Tao Chen, Botian Shi, Yikang Li, Yu Qiao
Unsupervised Domain Adaptation (UDA) technique has been explored in 3D cross-domain tasks recently.
1 code implementation • 5 Feb 2023 • Sifan Zhou, Zhi Tian, Xiangxiang Chu, Xinyu Zhang, Bo Zhang, Xiaobo Lu, Chengjian Feng, Zequn Jie, Patrick Yin Chiang, Lin Ma
The deployment of 3D detectors strikes one of the major challenges in real-world self-driving scenarios.
1 code implementation • 30 Jan 2023 • Xiao Li, Wei zhang, Yining Liu, Zhanhao Hu, Bo Zhang, Xiaolin Hu
Previous researches mainly focus on improving adversarial robustness in the fully supervised setting, leaving the challenging domain of zero-shot adversarial robustness an open question.
no code implementations • 20 Jan 2023 • Luyao Chen, Zhiqiang Chen, Longsheng Jiang, Xiang Liu, Linlu Xu, Bo Zhang, Xiaolong Zou, Jinying Gao, Yu Zhu, Xizi Gong, Shan Yu, Sen Song, Liangyi Chen, Fang Fang, Si Wu, Jia Liu
Nowadays, we have witnessed the great success of AI in various applications, including image classification, game playing, protein structure analysis, language translation, and content generation.
no code implementations • 18 Jan 2023 • Xue Bai, Ayesha T. Tahir, Zhengheng Yu, Wenbo Cheng, Bo Zhang, Jun Kang
Furthermore, the flow cytometry results showed that DLTD tablets efficiently reduced ROS content and inhibited rat neural stem cell apoptosis induced by hydrogen peroxide.
no code implementations • 16 Jan 2023 • Bo Zhang, Yuchen Guo, Runzhao Yang, Zhihong Zhang, Jiayi Xie, Jinli Suo, Qionghai Dai
In this paper, we contribute the first multi-illuminance, multi-camera, and low-light dataset, named DarkVision, serving for both image enhancement and object detection.
5 code implementations • 13 Jan 2023 • Chuyi Li, Lulu Li, Yifei Geng, Hongliang Jiang, Meng Cheng, Bo Zhang, Zaidan Ke, Xiaoming Xu, Xiangxiang Chu
For a glimpse of performance, our YOLOv6-N hits 37. 5% AP on the COCO dataset at a throughput of 1187 FPS tested with an NVIDIA Tesla T4 GPU.
Ranked #1 on Real-Time Object Detection on MS COCO
no code implementations • ICCV 2023 • Li Niu, Xing Zhao, Bo Zhang, Liqing Zhang
Visible watermark removal aims to erase the watermark from watermarked image and recover the background image, which is a challenging task due to the diverse watermarks.
no code implementations • CVPR 2023 • Chao Wang, Li Niu, Bo Zhang, Liqing Zhang
To address the first issue, we propose spatial-aware feature to encode the spatial relationship between candidate crops and aesthetic elements, by feeding the concatenation of crop mask and selectively aggregated feature maps to a light-weighted encoder.
1 code implementation • 26 Dec 2022 • Xingxing Wei, Ying Guo, Jie Yu, Bo Zhang
Extensive experiments are conducted on the Face Recognition (FR) task, and results on four representative FR models show that our method can significantly improve the attack success rate and query efficiency.
1 code implementation • 20 Dec 2022 • Ben Fei, Siyuan Huang, Jiakang Yuan, Botian Shi, Bo Zhang, Weidong Yang, Min Dou, Yikang Li
Different from previous studies that only focus on a single adaptation task, UniDA3D can tackle several adaptation tasks in 3D segmentation field, by designing a unified source-and-target active sampling strategy, which selects a maximally-informative subset from both source and target domains for effective model adaptation.
1 code implementation • CVPR 2023 • BoWen Zhang, Chenyang Qi, Pan Zhang, Bo Zhang, HsiangTao Wu, Dong Chen, Qifeng Chen, Yong Wang, Fang Wen
In this work, we propose an ID-preserving talking head generation framework, which advances previous methods in two aspects.
no code implementations • CVPR 2023 • Tengfei Wang, Bo Zhang, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, Baining Guo
This paper presents a 3D generative model that uses diffusion models to automatically generate 3D digital avatars represented as neural radiance fields.
1 code implementation • 4 Dec 2022 • Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu
The first stage of ROCK corresponds to the process of decomposing objects into parts in human vision.
2 code implementations • 3 Dec 2022 • Xiangxiang Chu, Liang Li, Bo Zhang
Nonetheless, its quantization performance is usually too poor to deploy (more than 20% top-1 accuracy drop on ImageNet) when INT8 inference is desired.
2 code implementations • CVPR 2023 • Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, Fang Wen
Language-guided image editing has achieved great success recently.
no code implementations • 15 Nov 2022 • Weimin Wu, Jiayuan Fan, Tao Chen, Hancheng Ye, Bo Zhang, Baopu Li
To enhance the model, adaptability between domains and reduce the computational cost when deploying the ensemble model, we propose a novel framework, namely Instance aware Model Ensemble With Distillation, IMED, which fuses multiple UDA component models adaptively according to different instances and distills these components into a small model.
1 code implementation • 22 Oct 2022 • Yue Zhang, Bo Zhang, Zhenghua Li, Zuyi Bao, Chen Li, Min Zhang
Then, we obtain parse trees of the source incorrect sentences by projecting trees of the target correct sentences.
no code implementations • 19 Oct 2022 • Yang Guan, Liye Tang, Chuanxiao Li, Shengbo Eben Li, Yangang Ren, Junqing Wei, Bo Zhang, Keqiang Li
Self-evolution is indispensable to realize full autonomous driving.
no code implementations • 9 Oct 2022 • Haojie Zhang, Mingfei Liang, Ruobing Xie, Zhenlong Sun, Bo Zhang, Leyu Lin
Motivated by the above investigation, we propose two novel techniques to improve pre-trained language models: Decoupled Directional Relative Position (DDRP) encoding and MTH pre-training objective.
no code implementations • 1 Oct 2022 • Qingyuan Li, Bo Zhang, Xiangxiang Chu
In this paper, we undertake a simple and effective approach that can be easily applied to both vision transformers and convolutional neural networks.
1 code implementation • 12 Sep 2022 • Junshu Tang, Bo Zhang, Binxin Yang, Ting Zhang, Dong Chen, Lizhuang Ma, Fang Wen
In contrast to the traditional avatar creation pipeline which is a costly process, contemporary generative approaches directly learn the data distribution from photographs.
7 code implementations • 7 Sep 2022 • Chuyi Li, Lulu Li, Hongliang Jiang, Kaiheng Weng, Yifei Geng, Liang Li, Zaidan Ke, Qingyuan Li, Meng Cheng, Weiqiang Nie, Yiduo Li, Bo Zhang, Yufei Liang, Linyuan Zhou, Xiaoming Xu, Xiangxiang Chu, Xiaoming Wei, Xiaolin Wei
The YOLO community has prospered overwhelmingly to enrich its use in a multitude of hardware platforms and abundant scenarios.
Ranked #14 on Object Detection on COCO-O
no code implementations • 23 Aug 2022 • Hongcheng Guo, Yuhui Guo, Renjie Chen, Jian Yang, Jiaheng Liu, Zhoujun Li, Tieqiao Zheng, Weichao Hou, Liangfan Zheng, Bo Zhang
Experiments on five benchmarks validate the effectiveness of LogLG for detecting anomalies on unlabeled log data and demonstrate that LogLG, as the state-of-the-art weakly supervised method, achieves significant performance improvements compared to existing methods.
1 code implementation • 21 Jul 2022 • Bo Zhang, Li Niu, Xing Zhao, Liqing Zhang
Image cropping aims to find visually appealing crops in an image, which is an important yet challenging task.
1 code implementation • 17 Jul 2022 • Fang Ma, Chen Zhang, Bo Zhang, Dawei Song
Extensive experimental results on standard and adversarial benchmarks for SC and OE demonstrate the effectiveness and robustness of the proposed method, yielding new state-of-the-art performance on OE and competitive performance on SC.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
no code implementations • 6 Jul 2022 • Bo Zhang, Yue Liu, Kaixin Lu, Li Niu, Liqing Zhang
Instead, we propose a novel correspondence learning network (CorrelNet) to model the correspondence between foreground and background using cross-attention maps, based on which we can predict the target coordinate that each source coordinate of foreground should be mapped to on the background.
no code implementations • 6 Jul 2022 • Difei Cheng, Bo Zhang
An improved k-medoids algorithm (INCKM) was recently proposed to overcome this drawback, based on constructing a candidate medoids subset with a parameter choosing procedure, but it may fail when dealing with imbalanced datasets.
no code implementations • 4 Jul 2022 • Ruobing Xie, Zhijie Qiu, Bo Zhang, Leyu Lin
Specifically, we build three item-based CL tasks as a set of plug-and-play auxiliary objectives to capture item correlations in feature, semantic and session levels.
1 code implementation • 2 Jul 2022 • Bo Zhang, Jiakang Yuan, Baopu Li, Tao Chen, Jiayuan Fan, Botian Shi
Few-shot fine-grained learning aims to classify a query image into one of a set of support categories with fine-grained differences.
2 code implementations • 23 Jun 2022 • Yue Zhang, Haochen Jiang, Zuyi Bao, Bo Zhang, Chen Li, Zhenghua Li
We have accumulated 1, 119 error templates for Chinese GEC based on this method.
1 code implementation • 17 Jun 2022 • Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang
In this work, we propose Integer-only Discrete Flows (IODF), an efficient neural compressor with integer-only arithmetic.
1 code implementation • 15 Jun 2022 • Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
Thus, the generation performance on a subset of timesteps is crucial, which is greatly influenced by the covariance design in DPMs.
2 code implementations • 25 May 2022 • Tengfei Wang, Ting Zhang, Bo Zhang, Hao Ouyang, Dong Chen, Qifeng Chen, Fang Wen
We propose to use pretraining to boost general image-to-image translation.
Ranked #1 on Sketch-to-Image Translation on COCO-Stuff
no code implementations • 27 Apr 2022 • Dorian Goldman, Bo Zhang
In this paper we extend the work of Owen (2007) by deriving a second order expansion for the slope parameter in logistic regression, when the size of the majority class is unbounded and the minority class is finite.
no code implementations • 27 Apr 2022 • Bo Zhang, Chen Zhang, Fang Ma, Dawei Song
Neural text matching models have been used in a range of applications such as question answering and natural language inference, and have yielded a good performance.
1 code implementation • 25 Apr 2022 • Hao Ouyang, Bo Zhang, Pan Zhang, Hao Yang, Jiaolong Yang, Dong Chen, Qifeng Chen, Fang Wen
We propose pose-guided multiplane image (MPI) synthesis which can render an animatable character in real scenes with photorealistic quality.
2 code implementations • NAACL 2022 • Yue Zhang, Zhenghua Li, Zuyi Bao, Jiacheng Li, Bo Zhang, Chen Li, Fei Huang, Min Zhang
This paper presents MuCGEC, a multi-reference multi-source evaluation dataset for Chinese Grammatical Error Correction (CGEC), consisting of 7, 063 sentences collected from three Chinese-as-a-Second-Language (CSL) learner sources.
1 code implementation • CVPR 2022 • Ziyu Wan, Bo Zhang, Dongdong Chen, Jing Liao
We present a learning-based framework, recurrent transformer network (RTN), to restore heavily degraded old films.
Ranked #6 on Analog Video Restoration on TAPE
1 code implementation • IEEE/ACM Transactions on Audio, Speech, and Language Processing 2022 • Bo Zhang, Jian Wang, Hongfei Lin, Hui Ma, Bo Xu
Correlation integration is designed to fully exploit the pairwise mutual information among dialogue context, knowledge, and responses, while overall integration adopts an integration gate to capture global information.
1 code implementation • CVPR 2022 • Zhanhao Hu, Siyuan Huang, Xiaopei Zhu, Fuchun Sun, Bo Zhang, Xiaolin Hu
Experiments showed that these clothes could fool person detectors in the physical world.
1 code implementation • 3 Mar 2022 • Bo Zhang, Tao Chen, Bin Wang
Although domain adaptation has been extensively studied in natural image-based segmentation task, the research on cross-domain segmentation for very high resolution (VHR) remote sensing images (RSIs) still remains underexplored.
no code implementations • 2 Feb 2022 • Bo Zhang, Jiayao Zhang
We examine the role of textual data as study units when conducting causal inference by drawing parallels between human subjects and organized texts.
2 code implementations • ICLR 2022 • Fan Bao, Chongxuan Li, Jun Zhu, Bo Zhang
In this work, we present a surprising result that both the optimal reverse variance and the corresponding optimal KL divergence of a DPM have analytic forms w. r. t.
no code implementations • 31 Dec 2021 • Hongcheng Guo, Xingyu Lin, Jian Yang, Yi Zhuang, Jiaqi Bai, Tieqiao Zheng, Bo Zhang, Zhoujun Li
Therefore, we propose a unified Transformer-based framework for log anomaly detection (\ourmethod{}), which is comprised of the pretraining and adapter-based tuning stage.
1 code implementation • CVPR 2022 • BoWen Zhang, Shuyang Gu, Bo Zhang, Jianmin Bao, Dong Chen, Fang Wen, Yong Wang, Baining Guo
To this end, we believe that local attention is crucial to strike the balance between computational efficiency and modeling capacity.
Ranked #1 on Image Generation on CelebA 256x256 (FID metric)
no code implementations • IJCAI 2021 • Yumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He and Weipeng Yan
Conversion rate (CVR) prediction is becoming in- creasingly important in the multi-billion dollar on- line display advertising industry.
1 code implementation • 2 Dec 2021 • Ruobing Xie, Qi Liu, Liangdong Wang, Shukai Liu, Bo Zhang, Leyu Lin
Cross-domain recommendation (CDR) aims to provide better recommendation results in the target domain with the help of the source domain, which is widely used and explored in real-world systems.
2 code implementations • CVPR 2022 • Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, Baining Guo
Our experiments indicate that the VQ-Diffusion model with the reparameterization is fifteen times faster than traditional AR methods while achieving a better image quality.
Ranked #1 on Text-to-Image Generation on Oxford 102 Flowers (using extra training data)
no code implementations • EMNLP 2021 • Yue Zhang, Bo Zhang, Rui Wang, Junjie Cao, Chen Li, Zuyi Bao
Previous works on key information extraction from visually rich documents (VRDs) mainly focus on labeling the text within each bounding box (i. e., semantic entity), while the relations in-between are largely unexplored.
Ranked #4 on Entity Linking on FUNSD
1 code implementation • 8 Oct 2021 • Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo
The overlook of multiplex behavior relations can hardly recognize the multi-modal contextual signals across different types of interactions, which limit the feasibility of current recommendation methods.
no code implementations • 29 Sep 2021 • Xingxing Wei, Ying Guo, Jie Yu, Huanqian Yan, Bo Zhang
In this paper, we propose a method to simultaneously optimize the position and perturbation to generate transferable adversarial patches, and thus obtain high attack success rates in the black-box setting.
no code implementations • 29 Sep 2021 • Xianfeng Gao, Zhikai Chen, Bo Zhang
The experiments on ImageNet show that our method successfully mitigates the gap of transferability between models with different input sizes and achieves about 8% higher success rate comparing with the state-of-the-art input transformation methods.
no code implementations • 23 Sep 2021 • Difei Cheng, Ruihang Xu, Bo Zhang, Ruinan Jin
Density-based clustering algorithms are widely used for discovering clusters in pattern recognition and machine learning since they can deal with non-hyperspherical clusters and are robustness to handle outliers.
1 code implementation • 19 Sep 2021 • Bo Zhang, Tao Chen, Bin Wang, Ruoyao Li
Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.
no code implementations • 30 Aug 2021 • Bo Zhang, Tao Chen, Bin Wang, Xiaofeng Wu, Liming Zhang, Jiayuan Fan
Unsupervised domain adaptive object detection aims to adapt a well-trained detector from its original source domain with rich labeled data to a new target domain with unlabeled data.
no code implementations • 30 Aug 2021 • Yike Wu, Bo Zhang, Gang Yu, Weixi Zhang, Bin Wang, Tao Chen, Jiayuan Fan
The goal of few-shot fine-grained image classification is to recognize rarely seen fine-grained objects in the query set, given only a few samples of this class in the support set.
no code implementations • ACL 2021 • Bo Zhang, XiaoMing Zhang, Yun Liu, Lei Cheng, Zhoujun Li
Unsupervised Domain Adaptation (UDA) aims to transfer the knowledge of source domain to the unlabeled target domain.
3 code implementations • 5 Jul 2021 • Liu Liu, Zhenchen Liu, Bo Zhang, Jiangtong Li, Li Niu, Qingyang Liu, Liqing Zhang
Image composition aims to generate realistic composite image by inserting an object from one image into another background image, where the placement (e. g., location, size, occlusion) of inserted object may be unreasonable, which would significantly degrade the quality of the composite image.
no code implementations • 30 Jun 2021 • You Qiaoben, Chengyang Ying, Xinning Zhou, Hang Su, Jun Zhu, Bo Zhang
In this paper, we provide a framework to better understand the existing methods by reformulating the problem of adversarial attacks on reinforcement learning in the function space.
3 code implementations • 28 Jun 2021 • Li Niu, Wenyan Cong, Liu Liu, Yan Hong, Bo Zhang, Jing Liang, Liqing Zhang
We have also contributed the first image composition toolbox: libcom https://github. com/bcmi/libcom, which assembles 10+ image composition related functions (e. g., image blending, image harmonization, object placement, shadow generation, generative composition).
1 code implementation • NeurIPS 2021 • Fan Bao, Guoqiang Wu, Chongxuan Li, Jun Zhu, Bo Zhang
Our results can explain some mysterious behaviours of the bilevel programming in practice, for instance, overfitting to the validation set.
1 code implementation • NAACL 2021 • Qingrong Xia, Bo Zhang, Rui Wang, Zhenghua Li, Yue Zhang, Fei Huang, Luo Si, Min Zhang
Fine-grained opinion mining (OM) has achieved increasing attraction in the natural language processing (NLP) community, which aims to find the opinion structures of {``}Who expressed what opinions towards what{''} in one sentence.
no code implementations • 1 Jun 2021 • Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Fang Wen
The proposed robust mutual learning demonstrates state-of-the-art performance on semantic segmentation in low-data regime.
8 code implementations • NeurIPS 2021 • Xiangxiang Chu, Zhi Tian, Yuqing Wang, Bo Zhang, Haibing Ren, Xiaolin Wei, Huaxia Xia, Chunhua Shen
Very recently, a variety of vision transformer architectures for dense prediction tasks have been proposed and they show that the design of spatial attention is critical to their success in these tasks.
Ranked #48 on Semantic Segmentation on ADE20K val
1 code implementation • 20 Apr 2021 • Bo Zhang, Pedro V. Sander, Chi-Ying Tsui, Amine Bermak
In our method, the image is first micro-shifted, then the sub-quantized values are further compressed.
no code implementations • ICCV 2021 • Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander
This new dataset and our novel framework lead to our method that is able to address different contaminants and outperforms competitive restoration approaches both qualitatively and quantitatively.
no code implementations • 15 Apr 2021 • Shuxiao Chen, Bo Zhang
Estimating dynamic treatment regimes (DTRs) from retrospective observational data is challenging as some degree of unmeasured confounding is often expected.
1 code implementation • 7 Apr 2021 • Bo Zhang, Li Niu, Liqing Zhang
Image composition assessment is crucial in aesthetic assessment, which aims to assess the overall composition quality of a given image.
Ranked #1 on Aesthetics Quality Assessment on CADB
no code implementations • CVPR 2021 • Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Bo Zhang
This paper presents MagDR, a mask-guided detection and reconstruction pipeline for defending deepfakes from adversarial attacks.
no code implementations • 11 Mar 2021 • Bo Zhang, Ming Zhu, Zhong-Zu Wu, Qing-Zheng Yu, Peng Jiang, You-Ling Yue, Meng-Lin Huang, Qiao-Li Hao
Our observations successfully confirmed the existence of HI absorption lines in all these systems, including two sources that were marginally detected by ALFALFA.
Astrophysics of Galaxies
1 code implementation • CVPR 2021 • Chulin Xie, Chuxin Wang, Bo Zhang, Hao Yang, Dong Chen, Fang Wen
In this paper, we proposed a novel Style-based Point Generator with Adversarial Rendering (SpareNet) for point cloud completion.
Ranked #1 on Point Cloud Completion on ShapeNet (Earth Mover's Distance metric)
no code implementations • 28 Feb 2021 • JunRu Luo, Hong Qiao, Bo Zhang
On the other hand, the minimax probability machine is a popular method for binary classification problems and aims at learning a linear classifier by maximizing the accuracy rate, which makes it unsuitable to deal with imbalanced classification tasks.
no code implementations • 27 Feb 2021 • JunRu Luo, Hong Qiao, Bo Zhang
Due to the non-smoothness of the Hinge loss in SVM, it is difficult to obtain a faster convergence rate with modern optimization algorithms.
2 code implementations • 22 Feb 2021 • Xiangxiang Chu, Zhi Tian, Bo Zhang, Xinlong Wang, Chunhua Shen
Built on PEG, we present Conditional Position encoding Vision Transformer (CPVT).
no code implementations • 7 Feb 2021 • Ruobing Xie, Qi Liu, Shukai Liu, Ziwei Zhang, Peng Cui, Bo Zhang, Leyu Lin
In this paper, we propose a novel Heterogeneous graph neural network framework for diversified recommendation (GraphDR) in matching to improve both recommendation accuracy and diversity.
1 code implementation • 7 Feb 2021 • Minfang Lu, Shuai Ning, Shuangrong Liu, Fengyang Sun, Bo Zhang, Bo Yang, Lin Wang
Black-box optimization (BBO) algorithms are concerned with finding the best solutions for problems with missing analytical details.
no code implementations • 1 Feb 2021 • Yang Yu, Hai-Feng Wang, Wen-Yuan Cui, Lin-Lin Li, Chao Liu, Bo Zhang, Hao Tian, Zhen-Yan Huo, Jie Ju, Zhi-Cun Liu, Fang Wen, Shuai Feng
We present analysis of the spatial density structure for the outer disk from 8$-$14 \, kpc with the LAMOST DR5 13534 OB-type stars and observe similar flaring on north and south sides of the disk implying that the flaring structure is symmetrical about the Galactic plane, for which the scale height at different Galactocentric distance is from 0. 14 to 0. 5 \, kpc.
Astrophysics of Galaxies
2 code implementations • CVPR 2021 • Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Yong Wang, Fang Wen
In this paper, we rely on representative prototypes, the feature centroids of classes, to address the two issues for unsupervised domain adaptation.
Ranked #10 on Semantic Segmentation on GTAV-to-Cityscapes Labels
no code implementations • 11 Jan 2021 • Xiaodong Yang, Yunrui Ge, Bo Zhang, Jun Li
High-fidelity control of quantum systems is crucial for quantum information processing, but is often limited by perturbations from the environment and imperfections in the applied control fields.
Quantum Physics
no code implementations • 7 Jan 2021 • Jing Li, Xiang-Xiang Xue, Chao Liu, Bo Zhang, Hans-Walter Rix, Jeffrey L. Carlin, Chengqun Yang, Rene A. Mendez, Jing Zhong, Hao Tian, Lan Zhang, Yan Xu, Yaqian Wu, Gang Zhao, Ruixiang Chang
Their location in [$\alpha$/M] vs. [M/H] space is more metal poor than typical thin disk stars, with [$\alpha$/M] \textbf{lower} than the thick disk.
Astrophysics of Galaxies
1 code implementation • 24 Dec 2020 • Hao Wang, Ce Yu, Bo Zhang, Jian Xiao, Qi Luo
Gridding operation, which is to map non-uniform data samples onto a uniformly distributedgrid, is one of the key steps in radio astronomical data reduction process.
Instrumentation and Methods for Astrophysics
1 code implementation • CVPR 2021 • Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen
We present the full-resolution correspondence learning for cross-domain images, which aids image translation.
no code implementations • 26 Nov 2020 • Xiangxiang Chu, Xiaohang Zhan, Bo Zhang
Recent unsupervised contrastive representation learning follows a Single Instance Multi-view (SIM) paradigm where positive pairs are usually constructed with intra-image data augmentation.
no code implementations • ICCV 2023 • Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Bo Zhang, Xiaokang Yang, Junchi Yan
Albeit being a prevalent architecture searching approach, differentiable architecture search (DARTS) is largely hindered by its substantial memory cost since the entire supernet resides in the memory.
1 code implementation • NeurIPS Workshop ICBINB 2020 • Fan Bao, Kun Xu, Chongxuan Li, Lanqing Hong, Jun Zhu, Bo Zhang
The learning and evaluation of energy-based latent variable models (EBLVMs) without any structural assumptions are highly challenging, because the true posteriors and the partition functions in such models are generally intractable.
1 code implementation • NeurIPS 2020 • Fan Bao, Chongxuan Li, Kun Xu, Hang Su, Jun Zhu, Bo Zhang
This paper presents a bi-level score matching (BiSM) method to learn EBLVMs with general structures by reformulating SM as a bi-level optimization problem.
8 code implementations • 14 Sep 2020 • Zi-Yu Wan, Bo Zhang, Dong-Dong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen
Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize.
no code implementations • 8 Sep 2020 • Bo Zhang, Wenfeng Li, Qingyuan Li, Weiji Zhuang, Xiangxiang Chu, Yujun Wang
Smart audio devices are gated by an always-on lightweight keyword spotting program to reduce power consumption.
1 code implementation • 5 Sep 2020 • Ziwei Zhang, Chenhao Niu, Peng Cui, Jian Pei, Bo Zhang, Wenwu Zhu
Graph neural networks (GNNs) are emerging machine learning models on graphs.
1 code implementation • ICLR 2021 • Xiangxiang Chu, Xiaoxing Wang, Bo Zhang, Shun Lu, Xiaolin Wei, Junchi Yan
We call this approach DARTS-.
Ranked #19 on Neural Architecture Search on NAS-Bench-201, CIFAR-10
1 code implementation • 10 Aug 2020 • Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander
The key idea of the proposed approach is to estimate the dense cross-domain correspondence between the sketch and cartoon video frames, and employ a blending module with occlusion estimation to synthesize the middle frame guided by the sketch.
1 code implementation • ECCV 2020 • Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang
Most existing works attempt post-hoc interpretation on a pre-trained model, while neglecting to reduce the entanglement underlying the model.
no code implementations • 3 Jul 2020 • Bo Zhang, Renzhi Yuan, Jianfeng Sun, Julian Cheng, Mohamed-Slim Alouini
A free-space optical communication system using non-mode-selective photonic lantern (PL) based coherent receiver is studied.
no code implementations • ACL 2020 • Bo Zhang, Yue Zhang, Rui Wang, Zhenghua Li, Min Zhang
The experimental results show that syntactic information is highly valuable for ORL, and our final MTL model effectively boosts the F1 score by 9. 29 over the syntax-agnostic baseline.
1 code implementation • 7 May 2020 • Xiangxiang Chu, Bo Zhang
However, it largely suffers from the well-known performance collapse issue due to the aggregation of skip connections.
Ranked #12 on Neural Architecture Search on CIFAR-10
7 code implementations • CVPR 2020 • Zi-Yu Wan, Bo Zhang, Dong-Dong Chen, Pan Zhang, Dong Chen, Jing Liao, Fang Wen
Unlike conventional restoration tasks that can be solved through supervised learning, the degradation in real photos is complex and the domain gap between synthetic images and real old photos makes the network fail to generalize.
3 code implementations • CVPR 2020 • Pan Zhang, Bo Zhang, Dong Chen, Lu Yuan, Fang Wen
The output has the style (e. g., color, texture) in consistency with the semantically corresponding objects in the exemplar.
Ranked #1 on Image-to-Image Translation on ADE20K-Outdoor Labels-to-Photos (FID metric)
1 code implementation • 7 Apr 2020 • Yingqiu Zhu, Yu Chen, Danyang Huang, Bo Zhang, Hansheng Wang
In each update step, given the gradient direction, we locally approximate the loss function by a standard quadratic function of the learning rate.
no code implementations • 30 Mar 2020 • Xiyi Wei, Yu-Tian Xiao, Jian Wang, Rui Chen, Wei zhang, Yue Yang, Daojun Lv, Chao Qin, Di Gu, Bo Zhang, Weidong Chen, Jianquan Hou, Ninghong Song, Guohua Zeng, Shancheng Ren
Objective: To conduct a meta-analysis of current studies that examined sex differences in severity and mortality in patients with COVID-19, and identify potential mechanisms underpinning these differences.
no code implementations • 8 Mar 2020 • Lone Wong, Deli Zhao, Shaohua Wan, Bo Zhang
Progressive growing enhances image resolution gradually, thereby preserving precision of recovered image.
no code implementations • 29 Feb 2020 • Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor
According to our analysis, the UDP framework can realize $(\epsilon_{i}, \delta_{i})$-LDP for the $i$-th MT with adjustable privacy protection levels by varying the variances of the artificial noise processes.
1 code implementation • 19 Feb 2020 • Wen Wang, Wei zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
Specifically, we build a Multi-Relational Item Graph (MRIG) based on all behavior sequences from all sessions, involving target and auxiliary behavior types.
1 code implementation • pproximateinference AABI Symposium 2019 • Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang
Score matching provides an effective approach to learning flexible unnormalized models, but its scalability is limited by the need to evaluate a second-order derivative.
1 code implementation • ICCV 2023 • Xiangxiang Chu, Shun Lu, Xudong Li, Bo Zhang
However, current two-stage neural architecture search methods are mainly limited to single-path search spaces.
no code implementations • 30 Dec 2019 • Jixiang Li, Chuming Liang, Bo Zhang, Zhao Wang, Fei Xiang, Xiangxiang Chu
Convolutional neural networks are widely adopted in Acoustic Scene Classification (ASC) tasks, but they generally carry a heavy computational burden.
no code implementations • 21 Dec 2019 • Deli Zhao, Jiapeng Zhu, Bo Zhang
Variational Auto-Encoder (VAE) has been widely applied as a fundamental generative model in machine learning.
1 code implementation • 20 Dec 2019 • Chongxuan Li, Kun Xu, Jiashuo Liu, Jun Zhu, Bo Zhang
It is formulated as a three-player minimax game consisting of a generator, a classifier and a discriminator, and therefore is referred to as Triple Generative Adversarial Network (Triple-GAN).
no code implementations • 16 Dec 2019 • Charles K. Chui, Shao-Bo Lin, Bo Zhang, Ding-Xuan Zhou
The great success of deep learning poses urgent challenges for understanding its working mechanism and rationality.
no code implementations • 11 Dec 2019 • Hong Luo, Han Liu, Kejun Li, Bo Zhang
An essential criterion for FS image quality control is that all the essential anatomical structures in the section should appear full and remarkable with a clear boundary.
1 code implementation • ECCV 2020 • Xiangxiang Chu, Tianbao Zhou, Bo Zhang, Jixiang Li
Differentiable Architecture Search (DARTS) is now a widely disseminated weight-sharing neural architecture search method.
Ranked #24 on Neural Architecture Search on CIFAR-10
1 code implementation • 22 Nov 2019 • Zhijie Deng, Yucen Luo, Jun Zhu, Bo Zhang
Bayesian neural networks (BNNs) augment deep networks with uncertainty quantification by Bayesian treatment of the network weights.
no code implementations • 10 Nov 2019 • Bo Zhang, Yuqi Cui, Meng Wang, Jingjing Li, Lei Jin, Dongrui Wu
Tens of millions of women suffer from infertility worldwide each year.
no code implementations • 3 Nov 2019 • Yikai Wang, Liang Zhang, Quanyu Dai, Fuchun Sun, Bo Zhang, Yang He, Weipeng Yan, Yongjun Bao
In deep CTR models, exploiting users' historical data is essential for learning users' behaviors and interests.
no code implementations • IJCNLP 2019 • Bo Zhang, Xiao-Ming Zhang
Specifically, a hierarchical response generation (HRG) framework is proposed to capture the conversation intention in a natural and coherent way.
1 code implementation • 29 Sep 2019 • Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
There are existing efforts that model the training dynamics of GANs in the parameter space but the analysis cannot directly motivate practically effective stabilizing methods.
Ranked #37 on Image Generation on CIFAR-10 (Inception score metric)
1 code implementation • 27 Sep 2019 • Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu
Network pruning is an important research field aiming at reducing computational costs of neural networks.
1 code implementation • 25 Sep 2019 • Zhijie Deng, Yucen Luo, Jun Zhu, Bo Zhang
Bayesian neural networks (BNNs) introduce uncertainty estimation to deep networks by performing Bayesian inference on network weights.
no code implementations • 25 Sep 2019 • Haoyu Liang, Zhihao Ouyang, Hang Su, Yuyuan Zeng, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang
Convolutional neural networks (CNNs) have often been treated as “black-box” and successfully used in a range of tasks.
no code implementations • 25 Sep 2019 • Jiapeng Zhu, Deli Zhao, Bolei Zhou, Bo Zhang
A two-stage stochasticity-free training scheme is designed to train LIA via adversarial learning, in the sense that the decoder of LIA is first trained as a standard GAN with the invertible network and then the partial encoder is learned from an autoencoder by detaching the invertible network from LIA.
no code implementations • 25 Sep 2019 • Deli Zhao, Jiapeng Zhu, Bo Zhang
Variational inference is a fundamental problem in Variational AutoEncoder (VAE).
1 code implementation • 20 Sep 2019 • Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander
We propose a novel learning method to rectify document images with various distortion types from a single input image.
no code implementations • 17 Sep 2019 • Xiaoyu Yu, Yuwei Wang, Jie Miao, Ephrem Wu, Heng Zhang, Yu Meng, Bo Zhang, Biao Min, Dewei Chen, Jianlin Gao
Intensive computation is entering data centers with multiple workloads of deep learning.
1 code implementation • CVPR 2019 • Xiaoyu Li, Bo Zhang, Pedro V. Sander, Jing Liao
We propose the first general framework to automatically correct different types of geometric distortion in a single input image.
1 code implementation • 23 Aug 2019 • Bo Zhang, Chao Liu, Li-Cai Deng
To illustrate this capability, we test the performance of SLAM on stars ranging from Teff$\sim$4000 to $\sim$8000 K trained on LAMOST spectra and stellar labels.
Solar and Stellar Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
no code implementations • 22 Aug 2019 • Zihan Liu, Bo Huang, Yuqi Cui, Yifan Xu, Bo Zhang, Lixia Zhu, Yang Wang, Lei Jin, Dongrui Wu
Accurate classification of embryo early development stages can provide embryologists valuable information for assessing the embryo quality, and hence is critical to the success of IVF.
1 code implementation • 16 Aug 2019 • Xiangxiang Chu, Bo Zhang, Qingyuan Li, Ruijun Xu, Xudong Li
To discover powerful yet compact models is an important goal of neural architecture search.
Ranked #76 on Neural Architecture Search on ImageNet
2 code implementations • 4 Aug 2019 • Xiangxiang Chu, Bo Zhang, Ruijun Xu
Bearing the target hardware in mind, we propose the first Mobile GPU-Aware (MoGA) neural architecture search in order to be precisely tailored for real-world applications.
Ranked #850 on Image Classification on ImageNet
2 code implementations • ICCV 2021 • Xiangxiang Chu, Bo Zhang, Ruijun Xu
We demonstrate that this is crucial for improving the confidence of models' ranking.
Ranked #3 on Neural Architecture Search on CIFAR-10 (using extra training data)
no code implementations • 27 Jun 2019 • Deli Zhao, Jiapeng Zhu, Zhenfang Guo, Bo Zhang
The experiments on cat and human-face data validate that our algorithm is able to learn the optimal generative models (e. g. ProGAN) with respect to specified quality metrics for noisy data.
1 code implementation • CVPR 2019 • Bo Zhang, Mingming He, Jing Liao, Pedro V. Sander, Lu Yuan, Amine Bermak, Dong Chen
This paper presents the first end-to-end network for exemplar-based video colorization.
3 code implementations • 19 Jun 2019 • Jiapeng Zhu, Deli Zhao, Bo Zhang, Bolei Zhou
In this paper, we show that the entanglement of the latent space for the VAE/GAN framework poses the main challenge for encoder learning.
1 code implementation • NeurIPS 2019 • Kun Xu, Chongxuan Li, Jun Zhu, Bo Zhang
Deep generative models (DGMs) have shown promise in image generation.
no code implementations • 26 Apr 2019 • David Wehr, Halley Fede, Eleanor Pence, Bo Zhang, Guilherme Ferreira, John Walczyk, Joseph Hughes
The abundance of open-source code, coupled with the success of recent advances in deep learning for natural language processing, has given rise to a promising new application of machine learning to source code.
no code implementations • 22 Mar 2019 • Dongyang Zhao, Liang Zhang, Bo Zhang, Lizhou Zheng, Yongjun Bao, Weipeng Yan
To tackle this challenge, we propose a deep hierarchical reinforcement learning based recommendation framework, which consists of two components, i. e., high-level agent and low-level agent.
Hierarchical Reinforcement Learning Recommendation Systems +2
1 code implementation • 19 Mar 2019 • Hailong Ma, Xiangxiang Chu, Shaohua Wan, Bo Zhang
In recent years, deep learning methods have achieved impressive results with higher peak signal-to-noise ratio in single image super-resolution (SISR) tasks by utilizing deeper layers.
1 code implementation • ICLR 2019 • Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang
While Bayesian neural networks (BNNs) have drawn increasing attention, their posterior inference remains challenging, due to the high-dimensional and over-parameterized nature.
no code implementations • 26 Feb 2019 • Jinyu Yang, Bo Zhang
We first analyse the environment of the ITR and propose a relationship model for describing interactions of ITR with the students, the social milieu and the curriculum.
no code implementations • 2 Feb 2019 • Shifeng Zhang, Jianmin Li, Bo Zhang
Hashing method maps similar high-dimensional data to binary hashcodes with smaller hamming distance, and it has received broad attention due to its low storage cost and fast retrieval speed.
no code implementations • ICLR 2020 • Chongxuan Li, Chao Du, Kun Xu, Max Welling, Jun Zhu, Bo Zhang
We propose a black-box algorithm called {\it Adversarial Variational Inference and Learning} (AdVIL) to perform inference and learning on a general Markov random field (MRF).