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Found 9 papers, 2 papers with code
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.
VTG-GPT: Tuning-Free Zero-Shot Video Temporal Grounding with GPT
Video temporal grounding (VTG) aims to locate specific temporal segments from an untrimmed video based on a linguistic query.
Ranked #1 on
Zero-shot Moment Retrieval
on QVHighlights
Pyramid Feature Attention Network for Monocular Depth Prediction
Deep convolutional neural networks (DCNNs) have achieved great success in monocular depth estimation (MDE).
GPTSee: Enhancing Moment Retrieval and Highlight Detection via Description-Based Similarity Features
First, MiniGPT-4 is employed to generate the detailed description of the video frame and rewrite the query statement, fed into the encoder as new features.
MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer
With the increasing demand for video understanding, video moment and highlight detection (MHD) has emerged as a critical research topic.
Learning-based Natural Geometric Matching with Homography Prior
Then, we parametrize homography transformation with 9 parameters in full connected layer of our network, to better characterize large viewpoint variations compared with affine transformation.
Coarse-to-fine Seam Estimation for Image Stitching
For pixels on the seam, we develop a patch-point evaluation algorithm concentrating more on the correlation and variation of them.
Ratio-Preserving Half-Cylindrical Warps for Natural Image Stitching
The pixel selection strategy then samples the points in horizontal and reconstructs the image via interpolation to further reduce horizontal distortion by maintaining the ratio as similarity.
Quasi-homography warps in image stitching
The naturalness of warps is gaining extensive attentions in image stitching.
