Di Xie
30 papers · 2017–2025 · 9 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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(21)
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Top co-authors
Research topics
Deep Learning
(18)
Machine Learning
(18)
Computer Vision
(17)
Analysis
(16)
Architectures
(11)
Application Areas
(10)
Learning Types Β· Machine Learning
(8)
Artificial Intelligence
(7)
Learning Types Β· Deep Learning
(7)
Core AI
(6)
Optimization & Theory Β· Machine Learning
(6)
Core Methods
(5)
Optimization & Theory Β· Deep Learning
(4)
Processing
(3)
Techniques
(3)
Keywords
convolutional neural network
(5)
model compression
(5)
action recognition
(4)
domain adaptation
(3)
object detection
(3)
cross-domain evaluation
(2)
unsupervised learning
(2)
prompt tuning
(2)
weight sharing
(2)
pseudo labeling
(2)
neural network optimization
(2)
skeleton-based recognition
(2)
model architecture
(2)
gaze estimation
(2)
self-supervised learning
(2)
3d vision
(2)
zero-shot learning
(2)
pseudo label
(2)
network architecture
(1)
image classification
(1)
Papers
From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ
ICLR 2025
Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation
AAAI 2025
Unbiased Evaluation of Large Language Models from a Causal Perspective
ICML 2025
VQCounter: Designing Visual Prompt Queue for Accurate Open-World Counting
IJCAI 2025
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning
AAAI 2024
CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model
AAAI 2024
LG-Gaze: Learning Geometry-aware Continuous Prompts for Language-Guided Gaze Estimation
ECCV 2024
Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation
CVPR 2023
Unsupervised Prompt Tuning for Text-Driven Object Detection
ICCV 2023
Attention Diversification for Domain Generalization
ECCV 2022
FBNet: Feedback Network for Point Cloud Completion
ECCV 2022
Label Matching Semi-Supervised Object Detection
CVPR 2022
Learning Domain Adaptive Object Detection with Probabilistic Teacher
ICML 2022
"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
NeurIPS 2022
Slimmable Domain Adaptation
CVPR 2022
Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition
AAAI 2022
A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data
AAAI 2021
Divide-and-Assemble: Learning Block-Wise Memory for Unsupervised Anomaly Detection
ICCV 2021
TransForensics: Image Forgery Localization With Dense Self-Attention
ICCV 2021
Neural Inheritance Relation Guided One-Shot Layer Assignment Search
AAAI 2020
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
AAAI 2019
All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
CVPR 2019
An End-to-End Audio Classification System Based on Raw Waveforms and Mix-Training Strategy
Interspeech 2019
Collaborative Spatiotemporal Feature Learning for Video Action Recognition
CVPR 2019
Learning Incremental Triplet Margin for Person Re-Identification
AAAI 2019
Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction
CVPR 2019
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation
IJCAI 2018
Extreme Network Compression via Filter Group Approximation
ECCV 2018
Small-scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation
ECCV 2018
All You Need Is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks With Orthonormality and Modulation
CVPR 2017