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09/01/2023
BatchPrompt: Accomplish more with less
As the ever-increasing token limits of large language models (LLMs) have...
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05/03/2023
DELTA: Direct Embedding Enhancement and Leverage Truncated Conscious Attention for Recommendation System
Click-Through Rate (CTR) prediction is the most critical task in product...
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03/04/2023
MathPrompter: Mathematical Reasoning using Large Language Models
Large Language Models (LLMs) have limited performance when solving arith...
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01/15/2023
Rethinking Precision of Pseudo Label: Test-Time Adaptation via Complementary Learning
In this work, we propose a novel complementary learning approach to enha...
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10/11/2022
Repainting and Imitating Learning for Lane Detection
Current lane detection methods are struggling with the invisibility lane...
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08/24/2022
AGO-Net: Association-Guided 3D Point Cloud Object Detection Network
The human brain can effortlessly recognize and localize objects, whereas...
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12/28/2021
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection
Low-cost monocular 3D object detection plays a fundamental role in auton...
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12/03/2021
SGM3D: Stereo Guided Monocular 3D Object Detection
Monocular 3D object detection is a critical yet challenging task for aut...
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09/18/2021
MM-Deacon: Multimodal molecular domain embedding analysis via contrastive learning
Molecular representation learning plays an essential role in cheminforma...
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07/30/2021
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
Electricity load forecasting is crucial for the power systems' planning ...
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03/30/2021
Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection
The objective of this paper is to learn context- and depth-aware feature...
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09/30/2020
Manifold Adaptive Multiple Kernel K-Means for Clustering
Multiple kernel methods based on k-means aims to integrate a group of ke...
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06/08/2020
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection
Object detection from 3D point clouds remains a challenging task, though...
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03/01/2020
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection
We propose a novel fast and robust 3D point clouds segmentation framewor...
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11/04/2019