1.1k citations · 2.2k across the 55 of their papers we have counts for
18 papers · 1 filter
Chain of Thought Prompting Elicits Knowledge Augmentation
Dingjun Wu, Jing Zhang, Xinmei Huang
The knowledge-augmented deep learning paradigm refers to a paradigm in which domain knowledge is identified and integrated into deep models. Conventional methods typically employ t…
Human-imperceptible, Machine-recognizable Images
Fusheng Hao, Fengxiang He, Yikai Wang +4
Massive human-related data is collected to train neural networks for computer vision tasks. A major conflict is exposed relating to software engineers between better developing AI…
GraMMaR: Ground-aware Motion Model for 3D Human Motion Reconstruction
Sihan Ma, Qiong Cao, Hongwei Yi +2
Demystifying complex human-ground interactions is essential for accurate and realistic 3D human motion reconstruction from RGB videos, as it ensures consistency between the humans…
Multi-grained Hypergraph Interest Modeling for Conversational Recommendation
Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao +2
Conversational recommender system (CRS) interacts with users through multi-turn dialogues in natural language, which aims to provide high-quality recommendations for user's instant…
Empowering Agrifood System with Artificial Intelligence: A Survey of the Progress, Challenges and Opportunities
Tao Chen, Liang Lv, Di Wang +12
With the world population rapidly increasing, transforming our agrifood systems to be more productive, efficient, safe, and sustainable is crucial to mitigate potential food shorta…
DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification
Di Wang, Jing Zhang, Bo Du +2
Hyperspectral image (HSI) classification is challenging due to spatial variability caused by complex imaging conditions. Prior methods suffer from limited representation ability, a…
UVA: Towards Unified Volumetric Avatar for View Synthesis, Pose rendering, Geometry and Texture Editing
Jinlong Fan, Jing Zhang, Dacheng Tao
Neural radiance field (NeRF) has become a popular 3D representation method for human avatar reconstruction due to its high-quality rendering capabilities, e.g., regarding novel vie…
Deep Image Matting: A Comprehensive Survey
Jizhizi Li, Jing Zhang, Dacheng Tao
Image matting refers to extracting precise alpha matte from natural images, and it plays a critical role in various downstream applications, such as image editing. Despite being an…
Event-based Simultaneous Localization and Mapping: A Comprehensive Survey
Kunping Huang, Sen Zhang, Jing Zhang +1
In recent decades, visual simultaneous localization and mapping (vSLAM) has gained significant interest in both academia and industry. It estimates camera motion and reconstructs t…
Vision Transformer with Quadrangle Attention
Qiming Zhang, Jing Zhang, Yufei Xu +1
Window-based attention has become a popular choice in vision transformers due to its superior performance, lower computational complexity, and less memory footprint. However, the d…
SimDistill: Simulated Multi-modal Distillation for BEV 3D Object Detection
Haimei Zhao, Qiming Zhang, Shanshan Zhao +3
Multi-view camera-based 3D object detection has become popular due to its low cost, but accurately inferring 3D geometry solely from camera data remains challenging and may lead to…
Deep Learning for Camera Calibration and Beyond: A Survey
Kang Liao, Lang Nie, Shujuan Huang +5
Camera calibration involves estimating camera parameters to infer geometric features from captured sequences, which is crucial for computer vision and robotics. However, convention…
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning
Haoyu He, Jianfei Cai, Jing Zhang +2
Visual Parameter-Efficient Fine-Tuning (PEFT) has become a powerful alternative for full fine-tuning so as to adapt pre-trained vision models to downstream tasks, which only tunes…
ESceme: Vision-and-Language Navigation with Episodic Scene Memory
Qi Zheng, Daqing Liu, Chaoyue Wang +3
Vision-and-language navigation (VLN) simulates a visual agent that follows natural-language navigation instructions in real-world scenes. Existing approaches have made enormous pro…
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System
Chao Xue, Wei Liu, Shuai Xie +25
Automated machine learning (AutoML) seeks to build ML models with minimal human effort. While considerable research has been conducted in the area of AutoML in general, aiming to t…
GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation
Jing Zhang, Xiaokang Zhang, Daniel Zhang-Li +10
We present GLM-Dialog, a large-scale language model (LLM) with 10B parameters capable of knowledge-grounded conversation in Chinese using a search engine to access the Internet kno…
Web-Scale Academic Name Disambiguation: the WhoIsWho Benchmark, Leaderboard, and Toolkit
Bo Chen, Jing Zhang, Fanjin Zhang +5
Name disambiguation -- a fundamental problem in online academic systems -- is now facing greater challenges with the increasing growth of research papers. For example, on AMiner, a…
AniPixel: Towards Animatable Pixel-Aligned Human Avatar
Jinlong Fan, Jing Zhang, Zhi Hou +1
Although human reconstruction typically results in human-specific avatars, recent 3D scene reconstruction techniques utilizing pixel-aligned features show promise in generalizing t…