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Planar object tracking plays an important role in AI applications, such as robotics, visual servoing, and visual SLAM. Although the previous planar trackers work well in most scenarios, it is still a challenging task due to the rapid motion and large transformation between two consecutive frames. The essential reason behind this problem is that the condition number of such a non-linear system changes unstably when the searching range of the homography parameter space becomes larger. To this end, we propose a novel Homography Decomposition Networks~(HDN) approach that drastically reduces and stabilizes the condition number by decomposing the homography transformation into two groups. Specifically, a similarity transformation estimator is designed to predict the first group robustly by a deep convolution equivariant network. By taking advantage of the scale and rotation estimation with high confidence, a residual transformation is estimated by a simple regression model. Furthermore, the proposed end-to-end network is trained in a semi-supervised fashion. Extensive experiments show that our proposed approach outperforms the state-of-the-art planar tracking methods at a large margin on the challenging POT, UCSB and POIC datasets. Codes and models are available at https://github.com/zhanxinrui/HDN.

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Government trade actions are an increasing source of supply chain risk. This research provides empirical evidence of the stock market reaction to trade actions against a targeted firm on other firms in the targeted firm's supply chain eco-system. We test our hypothesized stock price effects using the case of the 2018 US government ban on US firms from supplying to ZTE, a Chinese telecommunications manufacturer. We estimate the ban's effects on ZTE's tier-one US and non-US suppliers, as well as the upstream and downstream supply chain propagation effects by considering ZTE's tier-two suppliers and business customers. We also estimate impacts to ZTE's competitors. We find that tier-one US suppliers experienced a stock price effect of À3.33% following the ban, and the reaction was more negative for those suppliers more dependent on ZTE for revenues. We find a stock price effect on tier-two suppliers of À0.40%, but an insignificant effect on non-US tier-one suppliers. Business customers experienced a stock price effect of 0.66%, and the competitors' stock price effect was 1.34%. The reversal of the ban 4 weeks later resulted in a stock price effect of 1.56% for tier-one US suppliers, 1.72% for tier-one non-US suppliers, and 1.35% for competitors.empirical research, global operations management, government sanctions, supply chain disruption, trade actions, trade policy Highlights • The 2018 ZTE trade ban by the US government resulted in significant market value losses (median À3.33%) for ZTE's US suppliers, but not for its non-US suppliers.• The reversal of the ban 4 weeks later resulted in significant market value gains (median 1.56%) for ZTE's US suppliers, but the gains were not sufficient to offset the losses incurred by the ban.• Policymakers and regulators need to be sensitive to the potential market value gains and losses due to government trade actions for both domestic and non-domestic firms, and supply chain managers and investors need to be aware of the magnitude of the impacts.

Corporate social responsibility (CSR) strategy hinges largely on the CEO characteristics in the context of an emerging market. Based on a sample of 16,144 firm-year observations obtained from 1,370 unique Chinese-listed firms, which whether voluntarily issue CSR reports over the period 2008–2019, this paper empirically examined the impact of CEO characteristics on the likelihood of issuing CSR reports. We find that CEO age, MBA education, international experience and political ideology consciousness are positively associated with the possibility of issuing CSR reports, while a newly appointed CEO will decrease the likelihood of issuing CSR reports. Moreover, we consider a contingent factor, namely CEO power over the board, can significantly enhance the relationship between CEO age, political ideology consciousness, and the likelihood of issuing CSR reports. Furthermore, there’s no significant evidence indicating that CEO power can moderate the relationship between MBA education, international experience, and the likelihood of issuing CSR reports. Nonetheless, CEO power moderates the negative relationship between a newly appointed CEO and CSR reporting initiatives. This study attaches understandings to the extant literature that how top management characteristics can shape firm CSR strategies.