Unsupervised Learning of Long-Term Motion Dynamics for Videos

We present an unsupervised representation learning approach that compactly encodes the motion dependencies in videos. Given a pair of images from a video clip, our framework learns to predict the long-term 3D motions. To reduce the complexity of the learning framework, we propose to describe the motion as a sequence of atomic 3D flows computed with RGB-D modality. We use a Recurrent Neural Network based Encoder-Decoder framework to predict these sequences of flows. We argue that in order for the decoder to reconstruct these sequences, the encoder must learn a robust video representation that captures long-term motion dependencies and spatial-temporal relations. We demonstrate the effectiveness of our learned temporal representations on activity classification across multiple modalities and datasets such as NTU RGB+D and MSR Daily Activity 3D. Our framework is generic to any input modality, i.e., RGB, Depth, and RGB-D videos.Comment: CVPR 201

Global analysis of measured and unmeasured hadronic two-body weak decays of antitriplet charmed baryons

A large amount of data on hadronic two body weak decays of anti-triplet charmed baryons $T_{c\bar 3}$ to an octet baryon $T_8$ and an octet or singlet pseudoscalar meson $P$, $T_{c \bar 3} \to T_8 P$, have been measured. The SU(3) flavor symmetry has been applied to study these decays to obtain insights about weak interactions for charm physics. However not all such decays needed to determine the SU(3) irreducible amplitudes have been measured forbidding a complete global analysis. Previously, it has been shown that data from measured decays can be used to do a global fit to determine all except one parity violating and one parity conserving amplitudes of the relevant SU(3) irreducible amplitudes causing 8 hadronic two body weak decay channels involving $\Xi^0_c$ to $\eta$ or $\eta'$ transitions undetermined. It is important to obtain information about these decays in order to guide experimental searches. In this work using newly measured decay modes by BESIII and Belle in 2022, we carry out a global analysis and parameterize the unknown amplitudes to provide the ranges for the branching ratios of the 8 undetermined decays. Our results indicate that the SU(3) flavor symmetry can explain the measured data exceptionally well, with a remarkable minimal $\chi^2/d.o.f.$ of 1.21 and predict 80 observables in 45 decays for future experimental data to test. We then vary the unknown SU(3) amplitudes to obtain the allowed range of branching ratios for the 8 undetermined decays. We find that some of them are within reach of near future experimental capabilities. We urge our experimental colleagues to carry out related searches.Comment: 9pages, 2 figures, 3 table

Discovering Domain Disentanglement for Generalized Multi-source Domain Adaptation

A typical multi-source domain adaptation (MSDA) approach aims to transfer knowledge learned from a set of labeled source domains, to an unlabeled target domain. Nevertheless, prior works strictly assume that each source domain shares the identical group of classes with the target domain, which could hardly be guaranteed as the target label space is not observable. In this paper, we consider a more versatile setting of MSDA, namely Generalized Multi-source Domain Adaptation, wherein the source domains are partially overlapped, and the target domain is allowed to contain novel categories that are not presented in any source domains. This new setting is more elusive than any existing domain adaptation protocols due to the coexistence of the domain and category shifts across the source and target domains. To address this issue, we propose a variational domain disentanglement (VDD) framework, which decomposes the domain representations and semantic features for each instance by encouraging dimension-wise independence. To identify the target samples of unknown classes, we leverage online pseudo labeling, which assigns the pseudo-labels to unlabeled target data based on the confidence scores. Quantitative and qualitative experiments conducted on two benchmark datasets demonstrate the validity of the proposed framework

Open Economy, Global Value Chain and Corporate Social Responsibility in China

Using a survey of 1,266 firms in 12 cities in China, this paper investigates the effects of open economy on the corporate social responsibility (CSR) of Chinese domestic firms embedded in the global value chain (GVC). We argue that, under a compliance-based paradigm, foreign domestic investment (FDI) and export not necessarily improve the CSR performance of Chinese firms. The cascade with foreign owned enterprises in the local value chain and CSR pressure from the GVC have important intervening impact on Chinese domestic firms’ CSR performance. The CSR performance improves in the domestic firms with foreign clients in the local value chain and under labor and environmental standards pressure from the GVC. There is no prominent improvement of CSR performance in domestic firms only with foreign suppliers in the local value chain. Regressions using the structural equation models show that the FDI has significant direct effect on working overtime and the social security coverage, while the export has no significant direct effect on CSR performance. However, export has significant indirect effect on improvement of the green investment and environment training through the cascade with foreign owned enterprises in the local value chain and pressure from the GVC

Open Economy, Global Value Chain and Corporate Social Responsibility in China

Using a survey of 1,266 firms in 12 cities in China, this paper investigates the effects of open economy on the corporate social responsibility (CSR) of Chinese domestic firms embedded in the global value chain (GVC). We argue that, under a compliance-based paradigm, foreign domestic investment (FDI) and export not necessarily improve the CSR performance of Chinese firms. The cascade with foreign owned enterprises in the local value chain and CSR pressure from the GVC have important intervening impact on Chinese domestic firms’ CSR performance. The CSR performance improves in the domestic firms with foreign clients in the local value chain and under labor and environmental standards pressure from the GVC. There is no prominent improvement of CSR performance in domestic firms only with foreign suppliers in the local value chain. Regressions using the structural equation models show that the FDI has significant direct effect on working overtime and the social security coverage, while the export has no significant direct effect on CSR performance. However, export has significant indirect effect on improvement of the green investment and environment training through the cascade with foreign owned enterprises in the local value chain and pressure from the GVC

Dark photon kinetic mixing effects for the CDF W-mass measurement

A new $U(1)_X$ gauge boson $X$ primarily interacting with a dark sector can have renormalizable kinetic mixing with the standard model (SM) $U(1)_Y$ gauge boson $Y$. This mixing besides introduces interactions of dark photon and dark sector with SM particles, it also modifies interactions among SM particles. The modified interactions can be casted into the oblique $S$, $T$ and $U$ parameters. We find that with the dark photon mass larger than the $Z$ boson mass, the kinetic mixing effects can reduce the tension of the W mass excess problem reported recently by CDF from $7\sigma$ deviation to within $3 \sigma$ compared with theory prediction. If there is non-abelian kinetic mixing between $U(1)_X$ and $SU(2)_L$ gauge bosons, in simple renormalizable models of this type a triplet Higgs is required to generate the mixing. We find that this triplet with a vacuum expectation value of order 5 GeV can naturally explain the W mass excess.Comment: 10 pages, add new ref and no change for conclusio