11 citations · 41 across the 8 of their papers we have counts for
8 papers
Apodex 1.1: Scaling Agentic Intelligence for Complex Work
B. An, B. Li, B. Wang +72
General-purpose language models can reason and synthesize knowledge, but complex work also requires sustained interaction with files, information sources, and executable code, toge…
HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization
Zhihao Liang, Zhangjin Huang, Changxing Ding +1
Recovery of an underlying scene geometry from multiview images stands as a long-time challenge in computer vision research. The recent promise leverages neural implicit surface lea…
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous Driving
Jinpeng Lin, Zhihao Liang, Shengheng Deng +5
3D object detection has recently received much attention due to its great potential in autonomous vehicle (AV). The success of deep learning based object detectors relies on the av…
VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention
Shengheng Deng, Zhihao Liang, Lin Sun +1
Detecting objects from LiDAR point clouds is of tremendous significance in autonomous driving. In spite of good progress, accurate and reliable 3D detection is yet to be achieved d…
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks
Zhihao Liang, Zhihao Li, Songcen Xu +2
Instance segmentation in 3D scenes is fundamental in many applications of scene understanding. It is yet challenging due to the compound factors of data irregularity and uncertaint…
TAG : Type Auxiliary Guiding for Code Comment Generation
Ruichu Cai, Zhihao Liang, Boyan Xu +3
Existing leading code comment generation approaches with the structure-to-sequence framework ignores the type information of the interpretation of the code, e.g., operator, string,…
FGN: Fully Guided Network for Few-Shot Instance Segmentation
Zhibo Fan, Jin-Gang Yu, Zhihao Liang +4
Few-shot instance segmentation (FSIS) conjoins the few-shot learning paradigm with general instance segmentation, which provides a possible way of tackling instance segmentation in…
An Encoder-Decoder Framework Translating Natural Language to Database Queries
Ruichu Cai, Boyan Xu, Xiaoyan Yang +3
Machine translation is going through a radical revolution, driven by the explosive development of deep learning techniques using Convolutional Neural Network (CNN) and Recurrent Ne…