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20182025
most citedQuantum computational advantage using photons

2.3k citations

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11 papers · 1 filter

cs.CV2023★ 18 cited

DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving

Erfei Cui, Wenhai Wang, Zhiqi Li +7

Large language models (LLMs) have opened up new possibilities for intelligent agents, endowing them with human-like thinking and cognitive abilities. In this work, we delve into th…

cs.CV2023★ 5 cited

Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery

Zhenyu Han, Yanxin Xi, Tong Xia +2

Built environment supports all the daily activities and shapes our health. Leveraging informative street view imagery, previous research has established the profound correlation be…

cs.CV2021★ 10 cited

Learning Modified Indicator Functions for Surface Reconstruction

Dong Xiao, Siyou Lin, Zuoqiang Shi +1

Surface reconstruction is a fundamental problem in 3D graphics. In this paper, we propose a learning-based approach for implicit surface reconstruction from raw point clouds withou…

cs.CV2021

Generalizable Mixed-Precision Quantization via Attribution Rank Preservation

Ziwei Wang, Han Xiao, Jiwen Lu +1

In this paper, we propose a generalizable mixed-precision quantization (GMPQ) method for efficient inference. Conventional methods require the consistency of datasets for bitwidth…

cs.CV2021★ 90 cited

A review on vision-based analysis for automatic dietary assessment

Wei Wang, Weiqing Min, Tianhao Li +3

Background: Maintaining a healthy diet is vital to avoid health-related issues, e.g., undernutrition, obesity and many non-communicable diseases. An indispensable part of the healt…

cs.CV2021★ 60 cited

Convolutional Neural Networks with Gated Recurrent Connections

Jianfeng Wang, Xiaolin Hu

The convolutional neural network (CNN) has become a basic model for solving many computer vision problems. In recent years, a new class of CNNs, recurrent convolution neural networ…

cs.CV2020★ 79 cited

SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation

An Tao, Yueqi Duan, Yi Wei +2

Most existing point cloud instance and semantic segmentation methods rely heavily on strong supervision signals, which require point-level labels for every point in the scene. Howe…

cs.CV2020★ 10 cited

Teacher-Critical Training Strategies for Image Captioning

Yiqing Huang, Jiansheng Chen

Existing image captioning models are usually trained by cross-entropy (XE) loss and reinforcement learning (RL), which set ground-truth words as hard targets and force the captioni…

cs.CV2020★ 367 cited

Deep learning for smart fish farming: applications, opportunities and challenges

Xinting Yang, Song Zhang, Jintao Liu +3

With the rapid emergence of deep learning (DL) technology, it has been successfully used in various fields including aquaculture. This change can create new opportunities and a ser…

cs.CV2018★ 36 cited

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network

Xinhai Liu, Zhizhong Han, Yu-Shen Liu +1

Exploring contextual information in the local region is important for shape understanding and analysis. Existing studies often employ hand-crafted or explicit ways to encode contex…

cs.CV2018★ 3 cited

Deep Feature Pyramid Reconfiguration for Object Detection

Tao Kong, Fuchun Sun, Wenbing Huang +1

State-of-the-art object detectors usually learn multi-scale representations to get better results by employing feature pyramids. However, the current designs for feature pyramids a…