Lili Ju
14 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Bronze π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π
Renaissance Researcher
(5)
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The Questioner
π
Century Club Β· Bronze
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Research topics
Keywords
depth estimation
(4)
convolutional neural network
(3)
multi-view stereo
(3)
adversarial training
(2)
3d reconstruction
(2)
semantic segmentation
(2)
domain adaptation
(2)
attention mechanism
(2)
unsupervised learning
(2)
cost volume
(2)
3d gaussian splatting
(2)
image representation
(2)
neural rendering
(2)
scene reconstruction
(1)
sound source localization
(1)
audio-visual learning
(1)
feature extraction
(1)
feature matching
(1)
saliency detection
(1)
multimodal learning
(1)
Papers
Frequency-Aware Density Control via Reparameterization for High-Quality Rendering of 3D Gaussian Splatting
AAAI 2025
IndoorGS: Geometric Cues Guided Gaussian Splatting for Indoor Scene Reconstruction
CVPR 2025
Instant GaussianImage: A Generalizable and Self-Adaptive Image Representation via 2D Gaussian Splatting
ICCV 2025
Is It Necessary to Transfer Temporal Knowledge for Domain Adaptive Video Semantic Segmentation?
ECCV 2022
SiamDoGe: Domain Generalizable Semantic Segmentation Using Siamese Network
ECCV 2022
Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation
AAAI 2022
Binaural Audio-Visual Localization
AAAI 2021
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
CVPR 2021
Attention-Aware Multi-View Stereo
CVPR 2020
Mesh-Guided Multi-View Stereo With Pyramid Architecture
CVPR 2020
SalSAC: A Video Saliency Prediction Model with Shuffled Attentions and Correlation-Based ConvLSTM
AAAI 2020
P-MVSNet: Learning Patch-Wise Matching Confidence Aggregation for Multi-View Stereo
ICCV 2019
Semantic Stereo Matching With Pyramid Cost Volumes
ICCV 2019
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos
ICCV 2019