8 citations · 14 across the 6 of their papers we have counts for
6 papers
UniGeo: Unifying Geometry Logical Reasoning via Reformulating Mathematical Expression
Jiaqi Chen, Tong Li, Jinghui Qin +4
Geometry problem solving is a well-recognized testbed for evaluating the high-level multi-modal reasoning capability of deep models. In most existing works, two main geometry probl…
Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image
Zhaoxuan Zhang, Xiaoguang Han, Bo Dong +3
We present a deep reinforcement learning method of progressive view inpainting for colored semantic point cloud scene completion under volume guidance, achieving high-quality scene…
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
Panteha Naderian, Gabriel Loaiza-Ganem, Harry J. Braviner +4
Multi-goal reaching is an important problem in reinforcement learning needed to achieve algorithmic generalization. Despite recent advances in this field, current algorithms suffer…
Relation-aware Meta-learning for Market Segment Demand Prediction with Limited Records
Jiatu Shi, Huaxiu Yao, Xian Wu +4
E-commerce business is revolutionizing our shopping experiences by providing convenient and straightforward services. One of the most fundamental problems is how to balance the dem…
Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation
Wei Feng, Wentao Liu, Tong Li +3
Human-object interactions (HOI) recognition and pose estimation are two closely related tasks. Human pose is an essential cue for recognizing actions and localizing the interacted…
My Brain is Full: When More Memory Helps
Christopher Lusena, Tong Li, Shelia Sittinger +2
We consider the problem of finding good finite-horizon policies for POMDPs under the expected reward metric. The policies considered are {em free finite-memory policies with limite…