Deep View-Sensitive Pedestrian Attribute Inference in an end-to-end Model

Pedestrian attribute inference is a demanding problem in visual surveillance that can facilitate person retrieval, search and indexing. To exploit semantic relations between attributes, recent research treats it as a multi-label image classification task. The visual cues hinting at attributes can be strongly localized and inference of person attributes such as hair, backpack, shorts, etc., are highly dependent on the acquired view of the pedestrian. In this paper we assert this dependence in an end-to-end learning framework and show that a view-sensitive attribute inference is able to learn better attribute predictions. Our proposed model jointly predicts the coarse pose (view) of the pedestrian and learns specialized view-specific multi-label attribute predictions. We show in an extensive evaluation on three challenging datasets (PETA, RAP and WIDER) that our proposed end-to-end view-aware attribute prediction model provides competitive performance and improves on the published state-of-the-art on these datasets.Comment: accepted BMVC 201

Recognizing and Curating Photo Albums via Event-Specific Image Importance

Automatic organization of personal photos is a problem with many real world ap- plications, and can be divided into two main tasks: recognizing the event type of the photo collection, and selecting interesting images from the collection. In this paper, we attempt to simultaneously solve both tasks: album-wise event recognition and image- wise importance prediction. We collected an album dataset with both event type labels and image importance labels, refined from an existing CUFED dataset. We propose a hybrid system consisting of three parts: A siamese network-based event-specific image importance prediction, a Convolutional Neural Network (CNN) that recognizes the event type, and a Long Short-Term Memory (LSTM)-based sequence level event recognizer. We propose an iterative updating procedure for event type and image importance score prediction. We experimentally verified that image importance score prediction and event type recognition can each help the performance of the other.Comment: Accepted as oral in BMVC 201

Xiaobing Tang. Global space and the nationalist discourse of modernity : the historical thinking of Liang Qichao

This article reviews the book Global Space and the Nationalist Discourse of Modernity: The Historical Thinking of Liang Qichao written by Xiaobing Tang

FMNL1 promotes growth and metastasis of breast cancer by inhibiting BRCA1 via upregulation of HMGA1

In the earlier published article, “Herbei Province” included in the affiliation of the second author is incorrect. “Chongqing” is a municipality directly under the Central Government and does not belong to "Hebei Province”. At the request of the author, the correct affiliation is provided above. New citation: Zhang Q, Yang H, Tang C, Wang Q, Ren L, Jia C, et al. FMNL1 promotes growth and metastasis of breast cancer by inhibiting BRCA1 via upregulation of HMGA1. Trop J Pharm Res 2021; 20(8):1559-1564 doi: 10.4314/tjpr.v20i8.2. Erratum: 2022; 21(8): 1807 doi: 10.4314/ tjpr.v 21i8.31 Earlier citation: Zhang Q, Yang H, Tang C, Wang Q, Ren L, Jia C, et al. FMNL1 promotes growth and metastasis of breast cancer by inhibiting BRCA1 via upregulation of HMGA1. Trop J Pharm Res 2021; 20(8):1559-1564 doi: 10.4314/tjpr.v20i8.

RED: Reinforced Encoder-Decoder Networks for Action Anticipation

Action anticipation aims to detect an action before it happens. Many real world applications in robotics and surveillance are related to this predictive capability. Current methods address this problem by first anticipating visual representations of future frames and then categorizing the anticipated representations to actions. However, anticipation is based on a single past frame's representation, which ignores the history trend. Besides, it can only anticipate a fixed future time. We propose a Reinforced Encoder-Decoder (RED) network for action anticipation. RED takes multiple history representations as input and learns to anticipate a sequence of future representations. One salient aspect of RED is that a reinforcement module is adopted to provide sequence-level supervision; the reward function is designed to encourage the system to make correct predictions as early as possible. We test RED on TVSeries, THUMOS-14 and TV-Human-Interaction datasets for action anticipation and achieve state-of-the-art performance on all datasets

Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets

We propose Impatient Deep Neural Networks (DNNs) which deal with dynamic time budgets during application. They allow for individual budgets given a priori for each test example and for anytime prediction, i.e., a possible interruption at multiple stages during inference while still providing output estimates. Our approach can therefore tackle the computational costs and energy demands of DNNs in an adaptive manner, a property essential for real-time applications. Our Impatient DNNs are based on a new general framework of learning dynamic budget predictors using risk minimization, which can be applied to current DNN architectures by adding early prediction and additional loss layers. A key aspect of our method is that all of the intermediate predictors are learned jointly. In experiments, we evaluate our approach for different budget distributions, architectures, and datasets. Our results show a significant gain in expected accuracy compared to common baselines.Comment: British Machine Vision Conference (BMVC) 201

The Contrast between the Same System of Marriage in the Tang Dynasty and Japan

Tang dynasty unprecedented development of China's legal system, especially the tang law of discussion on adjacent to all countries have a profound influence, the marriage system of the tang dynasty scattered in the tang law of discussion, the provisions of the marriage system is distinctive, the tang law of discussion on the construction of the relevant legal system has a profound influence, many laws can see the law of tang. The rules of the Japanese marriage system have both references and their own unique features. The marriage system can reflect the social reality at that time, and can more intuitively reflect the importance of the feudal society to the family inheritance. This paper will briefly introduce an overview of the marriage system in the Tang Dynasty and contemporary Japan, make a comparative study on the principles of the establishment of marriage, marriage, and analyze the influence of Tang law on the Japanese system of marriage. This paper discusses the reasons for the similarities and differences in the marriage systems and forms of the two countries, conducts a comparative study, comprehensively understands the whole picture of the ancient marriage system of the Tang and Japanese, and deeply analyzes the influence of the Tang law on the marriage system of Japan

Automatic locking knee brace joint

This invention is an apparatus for controlling the pivotal movement of a knee brace comprising a tang-and-clevis joint that has been uniquely modified. Both the tang and the clevis have a set of teeth that, when engaged, can lock the tang and the clevis together. In addition, the tang is biased away from the clevis. Consequently, when there is no axial force (i.e., body weight) on the tang, the tang is free to pivot within the clevis. However, when an axial force is exerted on the tang, the tang is pushed into the clevis, both sets of teeth engage, and the tang and the clevis lock together