1.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Chinese Academy of SciencesCN72 papers
- Chinese Academy of SciencesCN70 papers
- Institute of AutomationCN57 papers
- Beijing Academy of Artificial IntelligenceCN20 papers
- Institute of Computing TechnologyCN11 papers
- Shandong Institute of AutomationCN11 papers
- University of Science and Technology of ChinaCN5 papers
- Peng Cheng LaboratoryCN4 papers
- Tsinghua UniversityCN4 papers
- Horizon Robotics (China)3 papers
- Ningbo Institute of Industrial TechnologyCN3 papers
- Tongji UniversityCN3 papers
19 papers · 1 filter
Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion
Yuhe Ding, Xin Ma, Mandi Luo +2
Photo-to-caricature translation aims to synthesize the caricature as a rendered image exaggerating the features through sketching, pencil strokes, or other artistic drawings. Style…
Free-Form Image Inpainting via Contrastive Attention Network
Xin Ma, Xiaoqiang Zhou, Huaibo Huang +3
Most deep learning based image inpainting approaches adopt autoencoder or its variants to fill missing regions in images. Encoders are usually utilized to learn powerful representa…
Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation
Luanxuan Hou, Jie Cao, Yuan Zhao +3
We propose an augmented Parallel-Pyramid Net () with feature refinement by dilated bottleneck and attention module. During data preprocessing, we proposed a differentiable…
Quantum Superposition Inspired Spiking Neural Network
Yinqian Sun, Yi Zeng, Tielin Zhang
Despite advances in artificial intelligence models, neural networks still cannot achieve human performance, partly due to differences in how information is encoded and processed co…
Towards Accurate Pixel-wise Object Tracking by Attention Retrieval
Zhipeng Zhang, Bing Li, Weiming Hu +1
The encoding of the target in object tracking moves from the coarse bounding-box to fine-grained segmentation map recently. Revisiting de facto real-time approaches that are capabl…
Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation
Naiyu Gao, Yanhu Shan, Xin Zhao +1
Panoptic segmentation (PS) is a complex scene understanding task that requires providing high-quality segmentation for both thing objects and stuff regions. Previous methods handle…
Deep Momentum Uncertainty Hashing
Chaoyou Fu, Guoli Wang, Xiang Wu +2
Combinatorial optimization (CO) has been a hot research topic because of its theoretic and practical importance. As a classic CO problem, deep hashing aims to find an optimal code…
Brain Connectomes Come of Age
Xiao-Jing Wang, Ulises Pereira, Marcello G. P. Rosa +1
Databases of directed- and weighted- connectivity for mouse, macaque and marmoset monkeys, have recently become available and begun to be used to build dynamical models. A hierarch…
Reference-guided Face Component Editing
Qiyao Deng, Jie Cao, Yunfan Liu +3
Face portrait editing has achieved great progress in recent years. However, previous methods either 1) operate on pre-defined face attributes, lacking the flexibility of controllin…
Predictability of real temporal networks
Disheng Tang, Wenbo Du, Louis Shekhtman +4
Links in most real networks often change over time. Such temporality of links encodes the ordering and causality of interactions between nodes and has a profound effect on network…
Ocean: Object-aware Anchor-free Tracking
Zhipeng Zhang, Houwen Peng, Jianlong Fu +2
Anchor-based Siamese trackers have achieved remarkable advancements in accuracy, yet the further improvement is restricted by the lagged tracking robustness. We find the underlying…
Bifurcated backbone strategy for RGB-D salient object detection
Yingjie Zhai, Deng-Ping Fan, Jufeng Yang +4
Multi-level feature fusion is a fundamental topic in computer vision. It has been exploited to detect, segment and classify objects at various scales. When multi-level features mee…
Unsupervised deep learning identifies semantic disentanglement in single inferotemporal neurons
Irina Higgins, Le Chang, Victoria Langston +4
Deep supervised neural networks trained to classify objects have emerged as popular models of computation in the primate ventral stream. These models represent information with a h…
Non-iterative Simultaneous Rigid Registration Method for Serial Sections of Biological Tissue
Chang Shu, Xi Chen, Qiwei Xie +2
In this paper, we propose a novel non-iterative algorithm to simultaneously estimate optimal rigid transformation for serial section images, which is a key component in volume reco…
All-Optically Controlled Memristor
Lingxiang Hu, Jing Yang, Jingrui Wang +3
Memristors have emerged as key candidates for beyond-von-Neumann neuromorphic or in-memory computing owing to the feasibility of their ultrahigh-density three-dimensional integrati…
Neural Machine Translation: Challenges, Progress and Future
Jiajun Zhang, Chengqing Zong
Machine translation (MT) is a technique that leverages computers to translate human languages automatically. Nowadays, neural machine translation (NMT) which models direct mapping…
MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis
Hanshu Cai, Yiwen Gao, Shuting Sun +23
According to the World Health Organization, the number of mental disorder patients, especially depression patients, has grown rapidly and become a leading contributor to the global…
Object Relational Graph with Teacher-Recommended Learning for Video Captioning
Ziqi Zhang, Yaya Shi, Chunfeng Yuan +4
Taking full advantage of the information from both vision and language is critical for the video captioning task. Existing models lack adequate visual representation due to the neg…
BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation
Zhen-Liang Ni, Gui-Bin Bian, Guan-An Wang +5
Surgical instrument segmentation is extremely important for computer-assisted surgery. Different from common object segmentation, it is more challenging due to the large illuminati…