activity
20152026
most citedPrecision Determination of the Neutral Weak Form Factor of Ca

303 citations · 563 across the 47 of their papers we have counts for

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Showing 2022Show all

17 papers · 1 filter

eess.AS2022★ 1 cited

Improved Speech Pre-Training with Supervision-Enhanced Acoustic Unit

Pengcheng Li, Genshun Wan, Fenglin Ding +4

Speech pre-training has shown great success in learning useful and general latent representations from large-scale unlabeled data. Based on a well-designed self-supervised learning…

eess.AS2022

Progressive Multi-Scale Self-Supervised Learning for Speech Recognition

Genshun Wan, Tan Liu, Hang Chen +3

Self-supervised learning (SSL) models have achieved considerable improvements in automatic speech recognition (ASR). In addition, ASR performance could be further improved if the m…

eess.AS2022

Improved Self-Supervised Multilingual Speech Representation Learning Combined with Auxiliary Language Information

Fenglin Ding, Genshun Wan, Pengcheng Li +2

Multilingual end-to-end models have shown great improvement over monolingual systems. With the development of pre-training methods on speech, self-supervised multilingual speech re…

eess.AS2022

Self-Supervised Audio-Visual Speech Representations Learning By Multimodal Self-Distillation

Jing-Xuan Zhang, Genshun Wan, Zhen-Hua Ling +3

In this work, we present a novel method, named AV2vec, for learning audio-visual speech representations by multimodal self-distillation. AV2vec has a student and a teacher module,…

eess.IV2022★ 19 cited

Neural Implicit k-Space for Binning-free Non-Cartesian Cardiac MR Imaging

Wenqi Huang, Hongwei Li, Jiazhen Pan +3

In this work, we propose a novel image reconstruction framework that directly learns a neural implicit representation in k-space for ECG-triggered non-Cartesian Cardiac Magnetic Re…

cs.CV2022

Siamese Object Tracking for Vision-Based UAM Approaching with Pairwise Scale-Channel Attention

Guangze Zheng, Changhong Fu, Junjie Ye +3

Although the manipulating of the unmanned aerial manipulator (UAM) has been widely studied, vision-based UAM approaching, which is crucial to the subsequent manipulating, generally…

cond-mat.quant-gas2022★ 60 cited

Tuning anomalous Floquet topological bands with ultracold atoms

Jin-Yi Zhang, Chang-Rui Yi, Long Zhang +7

The Floquet engineering opens the way to create new topological states without counterparts in static systems. Here, we report the experimental realization and characterization of…

cs.CV2022★ 5 cited

Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition from Egocentric RGB Videos

Yilin Wen, Hao Pan, Lei Yang +3

Understanding dynamic hand motions and actions from egocentric RGB videos is a fundamental yet challenging task due to self-occlusion and ambiguity. To address occlusion and ambigu…

cs.RO2022★ 2 cited

Monocular Camera-based Complex Obstacle Avoidance via Efficient Deep Reinforcement Learning

Jianchuan Ding, Lingping Gao, Wenxi Liu +5

Deep reinforcement learning has achieved great success in laser-based collision avoidance works because the laser can sense accurate depth information without too much redundant da…

cs.LG2022★ 1 cited

ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias

Yupu Lu, Shijie Lin, Guanqi Chen +1

Deep learning models are able to approximate one specific dynamical system but struggle at learning generalisable dynamics, where dynamical systems obey the same laws of physics bu…

nucl-ex2022★ 303 cited

Precision Determination of the Neutral Weak Form Factor of Ca

D. Adhikari, H. Albataineh, D. Androic +99

We report a precise measurement of the parity-violating asymmetry in the elastic scattering of longitudinally polarized electrons from . We measure $A_{…

cs.CV2022

Is Lip Region-of-Interest Sufficient for Lipreading?

Jing-Xuan Zhang, Gen-Shun Wan, Jia Pan

Lip region-of-interest (ROI) is conventionally used for visual input in the lipreading task. Few works have adopted the entire face as visual input because lip-excluded parts of th…

cs.LG2022★ 7 cited

Towards Understanding Why Mask-Reconstruction Pretraining Helps in Downstream Tasks

Jiachun Pan, Pan Zhou, Shuicheng Yan

For unsupervised pretraining, mask-reconstruction pretraining (MRP) approaches, e.g. MAE and data2vec, randomly mask input patches and then reconstruct the pixels or semantic featu…

cs.CV2022★ 2 cited

Adaptive Network Combination for Single-Image Reflection Removal: A Domain Generalization Perspective

Ming Liu, Jianan Pan, Zifei Yan +2

Recently, multiple synthetic and real-world datasets have been built to facilitate the training of deep single image reflection removal (SIRR) models. Meanwhile, diverse testing se…

cs.CV2022★ 2 cited

End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps

Ke Guo, Wenxi Liu, Jia Pan

In this paper, we aim to forecast a future trajectory distribution of a moving agent in the real world, given the social scene images and historical trajectories. Yet, it is a chal…

cs.CV2022★ 4 cited

Relationformer: A Unified Framework for Image-to-Graph Generation

Suprosanna Shit, Rajat Koner, Bastian Wittmann +8

A comprehensive representation of an image requires understanding objects and their mutual relationship, especially in image-to-graph generation, e.g., road network extraction, blo…

cs.RO2022

Visual-Tactile Sensing for Real-time Liquid Volume Estimation in Grasping

Fan Zhu, Ruixing Jia, Lei Yang +4

We propose a deep visuo-tactile model for realtime estimation of the liquid inside a deformable container in a proprioceptive way.We fuse two sensory modalities, i.e., the raw visu…