JIAXIN CHEN
33 papers · 2017–2026 · 8 conferences · across top CS/AI conferences
Achievements
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š Cross-Pollinator (13) š Academic Marathon (8) š Interdisciplinary Bridge š Conference Polyglot (8) š Renaissance Researcher (7)
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Conference Polyglot
(8)
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Academic Marathon
(8)
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Renaissance Researcher
(7)
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Dynamic Duo
(14)
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Unstoppable
(9)
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Trend Setter
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Century Club
(32)
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Conference Pioneer
šļø
Keyword Collector
(159)
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Prolific Year
(5)
Conferences
CVPR (13)
AAAI (7)
NIPS (5)
ECCV (3)
ICCV (2)
EMNLP (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
object detection
(4)
model compression
(4)
few-shot learning
(4)
vision transformer
(3)
diffusion model
(3)
knowledge distillation
(3)
post-training quantization
(3)
3d object detection
(2)
binary hashing
(2)
binary code
(2)
person re-identification
(2)
efficient inference
(2)
domain adaptation
(2)
image retrieval
(2)
action recognition
(2)
metric learning
(2)
image generation
(2)
multi-task learning
(2)
video understanding
(2)
feature fusion
(2)
Papers
MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning
AAAI 2026
3D²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling
AAAI 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
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers
CVPR 2025
Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models
AAAI 2025
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
CVPR 2024
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
NIPS 2024
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer
ECCV 2024
Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning
ICLR 2023
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
NIPS 2023
Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images
CVPR 2023
Compressed Video Prompt Tuning
NIPS 2023
OcTr: Octree-Based Transformer for 3D Object Detection
CVPR 2023
DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration
ICCV 2023
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
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
PR-GCN: A Deep Graph Convolutional Network With Point Refinement for 6D Pose Estimation
ICCV 2021
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima
NIPS 2021
Effectiveness of Pre-training for Few-shot Intent Classification
EMNLP 2021
Attention-based Multi-Level Fusion Network for Light Field Depth Estimation
AAAI 2021
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
CVPR 2020
Auto-Encoding Twin-Bottleneck Hashing
CVPR 2020
Learning Attentive and Hierarchical Representations for 3D Shape Recognition
ECCV 2020
Variational Metric Scaling for Metric-Based Meta-Learning
AAAI 2020
A Closer Look at the Training Strategy for Modern Meta-Learning
NIPS 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