Search Results for author:
Found 12 papers, 4 papers with code
C5: Towards Better Conversation Comprehension and Contextual Continuity for ChatGPT
Large language models (LLMs), such as ChatGPT, have demonstrated outstanding performance in various fields, particularly in natural language understanding and generation tasks.
AFPN: Asymptotic Feature Pyramid Network for Object Detection
Multi-scale features are of great importance in encoding objects with scale variance in object detection tasks.
Internal Structure Attention Network for Fingerprint Presentation Attack Detection from Optical Coherence Tomography
As a non-invasive optical imaging technique, optical coherence tomography (OCT) has proven promising for automatic fingerprint recognition system (AFRS) applications.
A Visual Representation-guided Framework with Global Affinity for Weakly Supervised Salient Object Detection
Fully supervised salient object detection (SOD) methods have made considerable progress in performance, yet these models rely heavily on expensive pixel-wise labels.
General Rotation Invariance Learning for Point Clouds via Weight-Feature Alignment
Compared to 2D images, 3D point clouds are much more sensitive to rotations.
Synthesize Boundaries: A Boundary-aware Self-consistent Framework for Weakly Supervised Salient Object Detection
BAB aims to help predict accurate boundaries, whose input is the synthetic image.
Motion-aware Memory Network for Fast Video Salient Object Detection
Moreover, inspired by the boundary supervision commonly used in image salient object detection (ISOD), we design a motion-aware loss for predicting object boundary motion and simultaneously perform multitask learning for VSOD and object motion prediction, which can further facilitate the model to extract spatiotemporal features accurately and maintain the object integrity.
VAC2: Visual Analysis of Combined Causality in Event Sequences
To fill the absence of combined causes discovery on temporal event sequence data, eliminating and recruiting principles are defined to balance the effectiveness and controllability on cause combinations.
DGSVis: Visual Analysis of Hierarchical Snapshots in Dynamic Graph
To provide an effective analysis method for this type of dynamic graph data, we propose a snapshot generation algorithm involving Human-In-Loop to help users divide the dynamic graphs into multi-granularity and hierarchical snapshots for further analysis.
Learning Video Salient Object Detection Progressively from Unlabeled Videos
Recent deep learning-based video salient object detection (VSOD) has achieved some breakthrough, but these methods rely on expensive annotated videos with pixel-wise annotations, weak annotations, or part of the pixel-wise annotations.
3D Instance Segmentation of MVS Buildings
Based on these global masks, 3D roof instances are segmented out by mask back-projections and extended to the entire building instances through a Markov random field optimization.
A Predictive Visual Analytics System for Studying Neurodegenerative Disease based on DTI Fiber Tracts
Diffusion tensor imaging (DTI) has been used to study the effects of neurodegenerative diseases on neural pathways, which may lead to more reliable and early diagnosis of these diseases as well as a better understanding of how they affect the brain.
