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Found 8 papers, 3 papers with code
iMOVE: Instance-Motion-Aware Video Understanding
Enhancing the fine-grained instance spatiotemporal motion perception capabilities of Video Large Language Models is crucial for improving their temporal and general video understanding.
Federated Learning with Sample-level Client Drift Mitigation
In this paper, we bridge this gap by identifying that the drift can be viewed as a cumulative manifestation of biases present in all local samples and the bias between samples is different.
Multilevel Semantic-Aware Model for AI-Generated Video Quality Assessment
We propose a Prompt Semantic Supervision Module using text encoder of CLIP to ensure semantic consistency between videos and conditional prompts.
GSurf: 3D Reconstruction via Signed Distance Fields with Direct Gaussian Supervision
However, these approaches often suffer from slow training and rendering speeds compared to 3D Gaussian splatting (3DGS).
GS-Octree: Octree-based 3D Gaussian Splatting for Robust Object-level 3D Reconstruction Under Strong Lighting
The initial SDF represents the coarse geometry of the target object.
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge
A total of 196 participants have registered in the video track.
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected dataset KVQ from popular short-form video platform, i. e., Kuaishou/Kwai Platform.
Hierarchical community structure in networks
A great deal of effort has gone into trying to detect and study these structures.
