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Yi Yu

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

24

papers

672

total citations

papers (24)

Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection

Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond

ExposureDiffusion: Learning to Expose for Low-light Image Enhancement

H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection

NEURIPS 2023arXiv

Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger

PointOBB: Learning Oriented Object Detection via Single Point Supervision

Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision

Raw Image Reconstruction With Learned Compact Metadata

Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders

PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI

Change-point Detection for Sparse and Dense Functional Data in General Dimensions

NEURIPS 2022arXiv

Adversarially Robust Change Point Detection

NEURIPS 2021arXiv

Locally private online change point detection

NEURIPS 2021arXiv

Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger

Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances

Network change point localisation under local differential privacy

NEURIPS 2022arXiv

Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems

Lattice partition recovery with dyadic CART

NEURIPS 2021arXiv

Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking

Scalable Motion Style Transfer with Constrained Diffusion Generation

Transfer Learning for Nonparametric Contextual Dynamic Pricing

Enduring, Efficient and Robust Trajectory Prediction Attack in Autonomous Driving via Optimization-Driven Multi-Frame Perturbation Framework

Change point detection and inference in multivariate non-parametric models under mixing conditions