61 citations · 230 across the 14 of their papers we have counts for
15 papers
Human-in-the-loop Machine Learning: A Macro-Micro Perspective
Jiangtao Wang, Bin Guo, Liming Chen
Though technical advance of artificial intelligence and machine learning has enabled many promising intelligent systems, many computing tasks are still not able to be fully accompl…
panda-gym: Open-source goal-conditioned environments for robotic learning
Quentin Gallouédec, Nicolas Cazin, Emmanuel Dellandréa +1
This paper presents panda-gym, a set of Reinforcement Learning (RL) environments for the Franka Emika Panda robot integrated with OpenAI Gym. Five tasks are included: reach, push,…
Taking Control of Intra-class Variation in Conditional GANs Under Weak Supervision
Richard T. Marriott, Sami Romdhani, Liming Chen
Generative Adversarial Networks (GANs) are able to learn mappings between simple, relatively low-dimensional, random distributions and points on the manifold of realistic images in…
MES-P: an Emotional Tonal Speech Dataset in Mandarin Chinese with Distal and Proximal Labels
Zhongzhe Xiao, Ying Chen, Weibei Dou +2
Emotion shapes all aspects of our interpersonal and intellectual experiences. Its automatic analysis has there-fore many applications, e.g., human-machine interface. In this paper,…
Accurate Facial Parts Localization and Deep Learning for 3D Facial Expression Recognition
Asim Jan, Huaxiong Ding, Hongying Meng +2
Meaningful facial parts can convey key cues for both facial action unit detection and expression prediction. Textured 3D face scan can provide both detailed 3D geometric shape and…
Discriminative Label Consistent Domain Adaptation
Lingkun Luo, Liming Chen, Ying lu +1
Domain adaptation (DA) is transfer learning which aims to learn an effective predictor on target data from source data despite data distribution mismatch between source and target.…