Domain-Specific
6,723 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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Papers (including subtopics)
Language, OCR, Form Independent (LOFI) pipeline for Industrial Document Information Extraction
EMNLP 2024
Large-Scale Multi-Hypotheses Cell Tracking Using Ultrametric Contours Maps
ECCV 2024
LASA: Instance Reconstruction from Real Scans using A Large-scale Aligned Shape Annotation Dataset
CVPR 2024
Layout-Agnostic Scene Text Image Synthesis with Diffusion Models
CVPR 2024
LayoutLLM: Large Language Model Instruction Tuning for Visually Rich Document Understanding
COLING 2024
LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing Modalities
AAAI 2024
Learnable Cube-Based Video Encryption for Privacy-Preserving Action Recognition
WACV 2024
Learning 3D Garment Animation from Trajectories of A Piece of Cloth
NeurIPS 2024
Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
ICML 2024
Learning a Spiking Neural Network for Efficient Image Deraining
IJCAI 2024
Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation
AAAI 2024
Learning De-Biased Representations for Remote-Sensing Imagery
NeurIPS 2024
Learning Explicit Contact for Implicit Reconstruction of Hand-Held Objects from Monocular Images
AAAI 2024
Learning from Synthetic Human Group Activities
CVPR 2024
Learning Generalized Medical Image Segmentation from Decoupled Feature Queries
AAAI 2024
Learning Generalized Segmentation for Foggy-Scenes by Bi-directional Wavelet Guidance
AAAI 2024
Learning Image Priors Through Patch-Based Diffusion Models for Solving Inverse Problems
NeurIPS 2024
Learning Interaction-aware 3D Gaussian Splatting for One-shot Hand Avatars
NeurIPS 2024
Learning Large-Factor EM Image Super-Resolution with Generative Priors
CVPR 2024
Learning Low-Rank Feature for Thorax Disease Classification
NeurIPS 2024
Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing
AAAI 2024
Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring
ICML 2024
Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos
CVPR 2024
Learning to Approximate Adaptive Kernel Convolution on Graphs
AAAI 2024
Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels
CVPR 2024