Shifeng Zhang
38 papers · 2017–2025 · 8 venues · across top CS/AI venues
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(5)
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Research topics
Machine Learning
(30)
Deep Learning
(28)
Computer Vision
(24)
Models
(17)
Analysis
(16)
Application Areas
(13)
Core Methods
(12)
Artificial Intelligence
(11)
Core AI
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(9)
Learning Types Β· Deep Learning
(8)
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(5)
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(5)
Keywords
lossless compression
(6)
object detection
(6)
convolutional neural network
(5)
diffusion model
(4)
image generation
(4)
semantic segmentation
(4)
generative model
(4)
autoregressive model
(3)
image compression
(3)
knowledge distillation
(3)
face recognition
(3)
normalizing flow
(2)
variational inference
(2)
variational autoencoder
(2)
deep learning
(2)
neural network optimization
(2)
point cloud
(2)
model compression
(2)
neural compression
(2)
text-to-image generation
(2)
Papers
Generative Map Priors for Collaborative BEV Semantic Segmentation
CVPR 2025
Learning Shape-Independent Transformation via Spherical Representations for Category-Level Object Pose Estimation
ICLR 2025
LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation
ICCV 2025
Pamba: Enhancing Global Interaction in Point Clouds via State Space Model
AAAI 2025
Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception
ICLR 2025
Rethinking Correspondence-based Category-Level Object Pose Estimation
CVPR 2025
Revisiting Audio-Visual Segmentation with Vision-Centric Transformer
CVPR 2025
Structure-Aware Correspondence Learning for Relative Pose Estimation
CVPR 2025
Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis
ICCV 2025
TurboVSR: Fantastic Video Upscalers and Where to Find Them
ICCV 2025
VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection
CVPR 2025
Accelerating Diffusion Sampling with Optimized Time Steps
CVPR 2024
Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation
IJCAI 2024
Generating compositional scenes via Text-to-image RGBA Instance Generation
NeurIPS 2024
MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation
CVPR 2024
DAMix: Exploiting Deep Autoregressive Model Zoo for Improving Lossless Compression Generalization
AAAI 2023
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models
NeurIPS 2023
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
NeurIPS 2023
Memory Replay with Data Compression for Continual Learning
ICLR 2022
Nonlinear ICA Using Volume-Preserving Transformations
ICLR 2022
PILC: Practical Image Lossless Compression With an End-to-End GPU Oriented Neural Framework
CVPR 2022
Split Hierarchical Variational Compression
CVPR 2022
iFlow: Numerically Invertible Flows for Efficient Lossless Compression via a Uniform Coder
NeurIPS 2021
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression
CVPR 2021
OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression
NeurIPS 2021
Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection
CVPR 2020
Loss Function Search for Face Recognition
ICML 2020
Mis-Classified Vector Guided Softmax Loss for Face Recognition
AAAI 2020
PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes
AAAI 2020
Relational Learning for Joint Head and Human Detection
AAAI 2020
Understanding and Exploring the Network with Stochastic Architectures
NeurIPS 2020
A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing
CVPR 2019
ScratchDet: Training Single-Shot Object Detectors From Scratch
CVPR 2019
Selective Refinement Network for High Performance Face Detection
AAAI 2019
Ensemble Soft-Margin Softmax Loss for Image Classification
IJCAI 2018
Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd
ECCV 2018
Single-Shot Refinement Neural Network for Object Detection
CVPR 2018
S3FD: Single Shot Scale-Invariant Face Detector
ICCV 2017