Xianbin Cao
20 papers · 2018–2025 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (35) π Interdisciplinary Bridge π Academic Marathon (7) π Conference Polyglot (7) π§ Keyword Pioneer
π
Academic Marathon
(7)
πΊοΈ
Taxonomy Completionist
(35)
π€
Dynamic Duo
(13)
π₯
Unstoppable
(8)
π
Century Club
(20)
ποΈ
Keyword Collector
(81)
π
Conference Pioneer
β‘
Prolific Year
(5)
Conferences
ICCV (4)
WACV (4)
AAAI (3)
CVPR (3)
ECCV (2)
ICLR (2)
NIPS (2)
Top co-authors
Keywords
model compression
(4)
crowd counting
(3)
density estimation
(3)
attention mechanism
(3)
knowledge distillation
(3)
convolutional neural network
(3)
model quantization
(2)
vision transformer
(2)
metric learning
(1)
image restoration
(1)
semantic segmentation
(1)
information bottleneck
(1)
variational inference
(1)
uncertainty quantification
(1)
network architecture
(1)
zero-shot learning
(1)
embedding learning
(1)
object detection
(1)
data augmentation
(1)
few-shot learning
(1)
Papers
Prompt as Knowledge Bank: Boost Vision-language model via Structural Representation for zero-shot medical detection
ICLR 2025
Uncertainty-Aware Gradient Stabilization for Small Object Detection
ICCV 2025
SET: Spectral Enhancement for Tiny Object Detection
CVPR 2025
Efficient Low-Bit Quantization with Adaptive Scales for Multi-Task Co-Training
ICLR 2025
Bi-ViT: Pushing the Limit of Vision Transformer Quantization
AAAI 2024
Representation Disparity-aware Distillation for 3D Object Detection
ICCV 2023
Q-DM: An Efficient Low-bit Quantized Diffusion Model
NIPS 2023
Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer
NIPS 2022
IDa-Det: An Information Discrepancy-Aware Distillation for 1-Bit Detectors
ECCV 2022
IncreACO: Incrementally Learned Automatic Check-Out With Photorealistic Exemplar Augmentation
WACV 2021
Variational Prototype Inference for Few-Shot Semantic Segmentation
WACV 2021
Long-Range Attention Network for Multi-View Stereo
WACV 2021
Few-Shot Semantic Segmentation with Democratic Attention Networks
ECCV 2020
Model-Agnostic Metric for Zero-Shot Learning
WACV 2020
Attentive Temporal Pyramid Network for Dynamic Scene Classification
AAAI 2019
Relational Attention Network for Crowd Counting
ICCV 2019
Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation
AAAI 2019
Attentional Neural Fields for Crowd Counting
ICCV 2019
Crowd Counting and Density Estimation by Trellis Encoder-Decoder Networks
CVPR 2019
Modulated Convolutional Networks
CVPR 2018