Equivalence of coupled parametric oscillator dynamics to Lagrange multiplier primal-dual optimization

Kavli Affiliate: Eli Yablonovitch | First 5 Authors: Sri Krishna Vadlamani, Tianyao Patrick Xiao, Eli Yablonovitch, , | Summary: There has been a recent surge of interest in physics-based solvers for combinatorial optimization problems. We present a dynamical solver for the Ising problem that is comprised of a network of coupled parametric oscillators and show […]


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Large-gap insulating dimer ground state in monolayer IrTe2

Kavli Affiliate: Michael F. Crommie | First 5 Authors: Jinwoong Hwang, Kyoo Kim, Canxun Zhang, Tiancong Zhu, Charlotte Herbig | Summary: Monolayers of two-dimensional van der Waals materials exhibit novel electronic phases distinct from their bulk due to the symmetry breaking and reduced screening in the absence of the interlayer coupling. In this work, we […]


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Knowledge-Spreader: Learning Facial Action Unit Dynamics with Extremely Limited Labels

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiaotian Li, Xiang Zhang, Taoyue Wang, Lijun Yin, | Summary: Recent studies on the automatic detection of facial action unit (AU) have extensively relied on large-sized annotations. However, manually AU labeling is difficult, time-consuming, and costly. Most existing semi-supervised works ignore the informative cues from the temporal […]


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An EEG-Based Multi-Modal Emotion Database with Both Posed and Authentic Facial Actions for Emotion Analysis

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiaotian Li, Xiang Zhang, Huiyuan Yang, Wenna Duan, Weiying Dai | Summary: Emotion is an experience associated with a particular pattern of physiological activity along with different physiological, behavioral and cognitive changes. One behavioral change is facial expression, which has been studied extensively over the past few […]


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Current-enabled optical conductivity of superconductors

Kavli Affiliate: Joel E. Moore | First 5 Authors: MichaƂ Papaj, Joel E. Moore, , , | Summary: In most superconductors, optical excitations require impurity scattering or the presence of multiple bands. This is because in clean single-band superconductors, the combination of particle-hole and inversion symmetries prevents momentum-conserving transitions. In this work we show how […]


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Offline-Online Learning of Deformation Model for Cable Manipulation with Graph Neural Networks

Kavli Affiliate: Xiang Zhang | First 5 Authors: Changhao Wang, Yuyou Zhang, Xiang Zhang, Zheng Wu, Xinghao Zhu | Summary: Manipulating deformable linear objects by robots has a wide range of applications, e.g., manufacturing and medical surgery. To complete such tasks, an accurate dynamics model for predicting the deformation is critical for robust control. In […]


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Unifying Motion Deblurring and Frame Interpolation with Events

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Lei Yu, , , | Summary: Slow shutter speed and long exposure time of frame-based cameras often cause visual blur and loss of inter-frame information, degenerating the overall quality of captured videos. To this end, we present a unified framework of event-based motion deblurring and […]


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CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Huiyu Wang, Chen Wei, Alan Yuille, Wei Shen | Summary: Recent advances in self-supervised contrastive learning yield good image-level representation, which favors classification tasks but usually neglects pixel-level detailed information, leading to unsatisfactory transfer performance to dense prediction tasks such as semantic segmentation. In this […]


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Multi-Modal Learning for AU Detection Based on Multi-Head Fused Transformers

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Lijun Yin, , , | Summary: Multi-modal learning has been intensified in recent years, especially for applications in facial analysis and action unit detection whilst there still exist two main challenges in terms of 1) relevant feature learning for representation and 2) efficient fusion for […]


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