Tsung-Yi Lin
31 papers · 2013–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π Renaissance Researcher (7) π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (12) πΊοΈ Taxonomy Completionist (65)
πΊοΈ
Taxonomy Completionist
(65)
π
Renaissance Researcher
(7)
π
Interdisciplinary Bridge
π
Keyword Trendsetter Combo
(3)
π§¬
Topic Evolution
π
Trend Setter
π
Conference Pioneer
π
Century Club
(31)
π₯
Unstoppable
(9)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(132)
Conferences
CVPR (15)
ECCV (5)
ICCV (5)
NIPS (4)
ICLR (1)
WACV (1)
Top co-authors
Keywords
object detection
(9)
transfer learning
(4)
instance segmentation
(4)
feature pyramid
(3)
convolutional neural network
(3)
image classification
(3)
neural radiance field
(3)
neural architecture search
(3)
semi-supervised learning
(3)
mask prediction
(2)
metric learning
(2)
cross-view geolocalization
(2)
data augmentation
(2)
computer vision
(2)
semantic segmentation
(2)
cross-view matching
(2)
image captioning
(2)
generative model
(2)
multi-scale feature
(2)
hierarchical modeling
(1)
Papers
Articulated Kinematics Distillation from Video Diffusion Models
CVPR 2025
Dynamic Camera Poses and Where to Find Them
CVPR 2025
CoT-VLA: Visual Chain-of-Thought Reasoning for Vision-Language-Action Models
CVPR 2025
HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation
CVPR 2025
Visual Fact Checker: Enabling High-Fidelity Detailed Caption Generation
CVPR 2024
Vision Transformer for NeRF-Based View Synthesis From a Single Input Image
WACV 2023
Magic3D: High-Resolution Text-to-3D Content Creation
CVPR 2023
ATT3D: Amortized Text-to-3D Object Synthesis
ICCV 2023
Scaling Open-Vocabulary Image Segmentation with Image-Level Labels
ECCV 2022
Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
ICLR 2022
A Unified Sequence Interface for Vision Tasks
NIPS 2022
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation
ECCV 2022
Bottleneck Transformers for Visual Recognition
CVPR 2021
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval From a Single Image
ICCV 2021
Multi-Task Self-Training for Learning General Representations
ICCV 2021
Revisiting ResNets: Improved Training and Scaling Strategies
NIPS 2021
Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation
CVPR 2021
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
CVPR 2020
Rethinking Pre-training and Self-training
NIPS 2020
Efficient Scale-Permuted Backbone with Learned Resource Distribution
ECCV 2020
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve
ECCV 2020
MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices
CVPR 2020
Learning Data Augmentation Strategies for Object Detection
ECCV 2020
NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
CVPR 2019
ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors
ICCV 2019
Class-Balanced Loss Based on Effective Number of Samples
CVPR 2019
DropBlock: A regularization method for convolutional networks
NIPS 2018
Focal Loss for Dense Object Detection
ICCV 2017
Feature Pyramid Networks for Object Detection
CVPR 2017
Learning Deep Representations for Ground-to-Aerial Geolocalization
CVPR 2015
Cross-View Image Geolocalization
CVPR 2013