JIAXIN CHEN
37 papers · 2017–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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(5)
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Research topics
Machine Learning
(23)
Deep Learning
(21)
Computer Vision
(18)
Artificial Intelligence
(14)
Analysis
(14)
Core AI
(10)
Application Areas
(9)
Learning Types Β· Deep Learning
(9)
Architectures
(8)
Learning Types Β· Machine Learning
(8)
Optimization & Theory Β· Deep Learning
(7)
Core Methods
(6)
Learning Paradigms
(6)
Optimization & Theory Β· Machine Learning
(6)
Domain-Specific
(5)
Keywords
object detection
(5)
few-shot learning
(4)
knowledge distillation
(4)
model compression
(4)
diffusion model
(4)
vision transformer
(3)
post-training quantization
(3)
multi-task learning
(3)
3d object detection
(2)
video understanding
(2)
efficient inference
(2)
person re-identification
(2)
domain adaptation
(2)
binary hashing
(2)
image retrieval
(2)
action recognition
(2)
metric learning
(2)
image generation
(2)
cross-modal learning
(2)
binary code
(2)
Papers
Collaborative Multi-Mode Pruning for Vision-Language Models
CVPR 2026
Memory-Efficient Transfer Learning with Fading Side Networks via Masked Dual Path Distillation
CVPR 2026
MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning
AAAI 2026
Parameter-Efficient Adaptation for MLLMs via Implicit Modality Decomposition
CVPR 2026
Visual Prototype Conditioned Focal Region Generation for UAV-Based Object Detection
CVPR 2026
3DΒ²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling
AAAI 2025
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers
CVPR 2025
FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation
CVPR 2025
TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models
AAAI 2025
Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models
AAAI 2025
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer
ECCV 2024
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
NeurIPS 2024
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
CVPR 2024
Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images
CVPR 2023
Compressed Video Prompt Tuning
NeurIPS 2023
DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration
ICCV 2023
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
NeurIPS 2023
OcTr: Octree-Based Transformer for 3D Object Detection
CVPR 2023
Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning
ICLR 2023
CAT-Det: Contrastively Augmented Transformer for Multi-Modal 3D Object Detection
CVPR 2022
Entropy-Based Active Learning for Object Detection With Progressive Diversity Constraint
CVPR 2022
Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement
IJCAI 2022
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection
CVPR 2022
UFPMP-Det:Toward Accurate and Efficient Object Detection on Drone Imagery
AAAI 2022
Attention-based Multi-Level Fusion Network for Light Field Depth Estimation
AAAI 2021
Effectiveness of Pre-training for Few-shot Intent Classification
EMNLP 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
NeurIPS 2021
PR-GCN: A Deep Graph Convolutional Network With Point Refinement for 6D Pose Estimation
ICCV 2021
A Closer Look at the Training Strategy for Modern Meta-Learning
NeurIPS 2020
Auto-Encoding Twin-Bottleneck Hashing
CVPR 2020
Learning Attentive and Hierarchical Representations for 3D Shape Recognition
ECCV 2020
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
CVPR 2020
Variational Metric Scaling for Metric-Based Meta-Learning
AAAI 2020
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing
CVPR 2019
Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval
ECCV 2018
Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation
CVPR 2017
Zero-Shot Action Recognition With Error-Correcting Output Codes
CVPR 2017