Jingcai Guo

Latest

DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model
SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization
Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning
SRCD: Semantic Reasoning With Compound Domains for Single-Domain Generalized Object Detection
ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning
Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement
On the Robustness of Neural-enhanced Video Streaming Against Adversarial Attacks
ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning
Multimodal Dual-embedding Networks for Malware Open-set Recognition
PASS: Patch Automatic Skip Scheme for Efficient On-device Video Perception
(ML)2P-Encoder: On Exploration of Channel-class Correlation for Multi-label Zero-shot Learning
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
Graph Knows Unknowns: Reformulate Zero-shot Learning as Sample-level Graph Recognition
Towards Data-independent Knowledge Transfer in Model-heterogeneous Federated Learning
UTDNet: A Unified Triplet Decoder Network for Multimodal Salient Object Detection
Personalized Federated Learning with Contextualized Generalization
Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention
Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario
A Novel Perspective to Zero-Shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion
Dual-view Attention Networks for Single Image Super-Resolution
AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning
Adaptive adjustment with semantic feature space for zero-shot recognition
EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach