Jingru Tan
8 papers · 2020–2026 · 3 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (27)
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Research topics
Computer Vision
(6)
Deep Learning
(5)
Machine Learning
(5)
Analysis
(5)
Artificial Intelligence
(4)
Core AI
(4)
Learning Types Β· Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Core Methods
(3)
Optimization & Theory
(3)
Processing
(2)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Keywords
object detection
(4)
class imbalance
(3)
long-tailed distribution
(3)
long-tailed object detection
(2)
loss function
(2)
equalization loss
(2)
instance segmentation
(1)
image reconstruction
(1)
action recognition
(1)
gradient optimization
(1)
semantic space
(1)
autoregressive model
(1)
convolutional neural network
(1)
benchmark dataset
(1)
multimodal reasoning
(1)
instruction tuning
(1)
imbalanced data
(1)
vision-language model
(1)
deep learning
(1)
transfer learning
(1)
Papers
From Charts to Code: A Hierarchical Benchmark for Multimodal Models
ACL 2026
Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering
CVPR 2026
OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance
ICML 2025
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding
CVPR 2024
Equalized Focal Loss for Dense Long-Tailed Object Detection
CVPR 2022
Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection
CVPR 2021
RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features
CVPR 2021
Equalization Loss for Long-Tailed Object Recognition
CVPR 2020