Search Results - "Zhu, Song"

Cascaded Parsing of Human-Object Interaction Recognition by Zhou, Tianfei, Qi, Siyuan, Wang, Wenguan, Shen, Jianbing, Zhu, Song-Chun

“…This paper addresses the task of detecting and recognizing human-object interactions (HOI) in images. Considering the intrinsic complexity and structural…”
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Hierarchical Human Semantic Parsing With Comprehensive Part-Relation Modeling by Wang, Wenguan, Zhou, Tianfei, Qi, Siyuan, Shen, Jianbing, Zhu, Song-Chun

“…Modeling the human structure is central for human parsing that extracts pixel-wise semantic information from images. We start with analyzing three types of…”
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DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare by Xu, Yuanlu, Zhu, Song-Chun, Tung, Tony

“…We present DenseRaC, a novel end-to-end framework for jointly estimating 3D human pose and body shape from a monocular RGB image. Our two-step framework takes…”
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Plant neighbor detection and allelochemical response are driven by root-secreted signaling chemicals by Kong, Chui-Hua, Zhang, Song-Zhu, Li, Yong-Hua, Xia, Zhi-Chao, Yang, Xue-Fang, Meiners, Scott J., Wang, Peng

“…Plant neighbor detection and response strategies are important mediators of interactions among species. Despite increasing knowledge of neighbor detection and…”
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Attribute And-Or Grammar for Joint Parsing of Human Pose, Parts and Attributes by Seyoung Park, Nie, Bruce Xiaohan, Song-Chun Zhu

“…This paper presents an attribute and-or grammar (A-AOG) model for jointly inferring human body pose and human attributes in a parse graph with attributes…”
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Visual interpretability for deep learning: a survey by Zhang, Quan-shi, Zhu, Song-chun

“…This paper reviews recent studies in understanding neural-network representations and learning neural networks with interpretable/disentangled middle-layer…”
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Interpretable Convolutional Neural Networks by Zhang, Quanshi, Wu, Ying Nian, Zhu, Song-Chun

“…This paper proposes a method to modify a traditional convolutional neural network (CNN) into an interpretable CNN, in order to clarify knowledge…”
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Cooperative Training of Descriptor and Generator Networks by Xie, Jianwen, Lu, Yang, Gao, Ruiqi, Zhu, Song-Chun, Wu, Ying Nian

“…This paper studies the cooperative training of two generative models for image modeling and synthesis. Both models are parametrized by convolutional neural…”
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Monocular 3D Pose Estimation via Pose Grammar and Data Augmentation by Xu, Yuanlu, Wang, Wenguan, Liu, Tengyu, Liu, Xiaobai, Xie, Jianwen, Zhu, Song-Chun

“…In this paper, we propose a pose grammar to tackle the problem of 3D human pose estimation from a monocular RGB image. Our model takes estimated 2D pose as the…”
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Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds by Huang, Siyuan, Xie, Yichen, Zhu, Song-Chun, Zhu, Yixin

“…To date, various 3D scene understanding tasks still lack practical and generalizable pre-trained models, primarily due to the intricate nature of 3D scene…”
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Learning and Inferring "Dark Matter" and Predicting Human Intents and Trajectories in Videos by Dan Xie, Tianmin Shu, Todorovic, Sinisa, Song-Chun Zhu

“…This paper presents a method for localizing functional objects and predicting human intents and trajectories in surveillance videos of public spaces, under no…”
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Pricing options with a new hybrid neural network model by Shvimer, Yossi, Zhu, Song-Ping

“…A novel hybrid option pricing model using a deep learning neural network has been developed. The hybrid model keeps the traditional option pricing model with…”
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Analytically pricing double barrier options based on a time-fractional Black–Scholes equation by Chen, Wenting, Xu, Xiang, Zhu, Song-Ping

“…This paper investigates the pricing of double barrier options when the price change of the underlying is considered as a fractal transmission system. In this…”
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Bottom-Up/Top-Down Image Parsing with Attribute Grammar by Han, Feng, Zhu, Song-Chun

“…This paper presents a simple attribute graph grammar as a generative representation for made-made scenes, such as buildings, hallways, kitchens, and living…”
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RAVEN: A Dataset for Relational and Analogical Visual REasoNing by Zhang, Chi, Gao, Feng, Jia, Baoxiong, Zhu, Yixin, Zhu, Song-Chun

“…Dramatic progress has been witnessed in basic vision tasks involving low-level perception, such as object recognition, detection, and tracking. Unfortunately,…”
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Interpretable CNNs for Object Classification by Zhang, Quanshi, Wang, Xin, Wu, Ying Nian, Zhou, Huilin, Zhu, Song-Chun

“…This paper proposes a generic method to learn interpretable convolutional filters in a deep convolutional neural network (CNN) for object classification, where…”
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CERN: Confidence-Energy Recurrent Network for Group Activity Recognition by Tianmin Shu, Todorovic, Sinisa, Song-Chun Zhu

“…This work is about recognizing human activities occurring in videos at distinct semantic levels, including individual actions, interactions, and group…”
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A Comparison of MB-CBFM and Modified ASED Basis Function Method to Analyze Interconnected Finite Periodic Arrays by Du, Ping, Xiang, Wei, Zhu, Song-Song

“…This letter compares the macro block-characteristic basis function method (MB-CBFM) with the modified accurate subentire-domain (ASED) basis function method to…”
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Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification by Wang, Wenguan, Xu, Yuanlu, Shen, Jianbing, Zhu, Song-Chun

“…This paper proposes a knowledge-guided fashion network to solve the problem of visual fashion analysis, e.g., fashion landmark localization and clothing…”
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Learning AND-OR Templates for Object Recognition and Detection by Si, Zhangzhang, Zhu, Song-Chun

“…This paper presents a framework for unsupervised learning of a hierarchical reconfigurable image template - the AND-OR Template (AOT) for visual objects. The…”
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