activity
20162024
most citedPolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation

31 citations · 215 across the 46 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 3 cited

LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network

Dongqiangzi Ye, Yufei Xie, Weijia Chen +3

Due to the difficulty of acquiring large-scale 3D human keypoint annotation, previous methods for 3D human pose estimation (HPE) have often relied on 2D image features and sequenti…

cs.CL2023★ 2 cited

MeetingBank: A Benchmark Dataset for Meeting Summarization

Yebowen Hu, Tim Ganter, Hanieh Deilamsalehy +3

As the number of recorded meetings increases, it becomes increasingly important to utilize summarization technology to create useful summaries of these recordings. However, there i…

cs.CL2023

DecipherPref: Analyzing Influential Factors in Human Preference Judgments via GPT-4

Yebowen Hu, Kaiqiang Song, Sangwoo Cho +3

Human preference judgments are pivotal in guiding large language models (LLMs) to produce outputs that align with human values. Human evaluations are also used in summarization tas…

cs.CL2023★ 11 cited

Personalizing Task-oriented Dialog Systems via Zero-shot Generalizable Reward Function

A. B. Siddique, M. H. Maqbool, Kshitija Taywade +1

Task-oriented dialog systems enable users to accomplish tasks using natural language. State-of-the-art systems respond to users in the same way regardless of their personalities, a…

cs.IR2023

MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation

M. H. Maqbool, Umar Farooq, Adib Mosharrof +2

Recommender systems have become ubiquitous in our digital lives, from recommending products on e-commerce websites to suggesting movies and music on streaming platforms. Existing r…

cs.CV2023

LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception

Zixiang Zhou, Dongqiangzi Ye, Weijia Chen +4

There is a recent trend in the LiDAR perception field towards unifying multiple tasks in a single strong network with improved performance, as opposed to using separate networks fo…