Junni Zou
27 papers · 2019–2026 · 8 venues · across top CS/AI venues
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deep reinforcement learning
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Papers
Towards Holistic Modeling for Video Frame Interpolation with Auto-regressive Diffusion Transformers
CVPR 2026
FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates
ICML 2025
HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation
CVPR 2025
IM-Zero: Instance-level Motion Controllable Video Generation in a Zero-shot Manner
CVPR 2025
LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation
ICML 2025
Noise Conditional Variational Score Distillation
ICML 2025
On Disentangled Training for Nonlinear Transform in Learned Image Compression
ICLR 2025
Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning
CVPR 2025
AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training
ICML 2024
Frequency-Aware Transformer for Learned Image Compression
ICLR 2024
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
ICLR 2024
Image Compression for Machine and Human Vision With Spatial-Frequency Adaptation
ECCV 2024
Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance
ICML 2024
Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach
NeurIPS 2024
MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models
NeurIPS 2024
Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing
ECCV 2024
UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding
ECCV 2024
Doubly Robust Augmented Transfer for Meta-Reinforcement Learning
NeurIPS 2023
FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization
ICML 2023
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation
AAAI 2023
Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization
CVPR 2023
A Transformer-Based Decoder for Semantic Segmentation with Multi-level Context Mining
ECCV 2022
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization
ICCV 2021
Monotonic Robust Policy Optimization with Model Discrepancy
ICML 2021
Rotation Equivariant Graph Convolutional Network for Spherical Image Classification
CVPR 2020
SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-shot Neural Architecture Search
IJCAI 2020
Towards Accurate One-Stage Object Detection With AP-Loss
CVPR 2019