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Found 7 papers, 4 papers with code
Answering from Sure to Uncertain: Uncertainty-Aware Curriculum Learning for Video Question Answering
While significant advancements have been made in video question answering (VideoQA), the potential benefits of enhancing model generalization through tailored difficulty scheduling have been largely overlooked in existing research.
Sports-QA: A Large-Scale Video Question Answering Benchmark for Complex and Professional Sports
Reasoning over sports videos for question answering is an important task with numerous applications, such as player training and information retrieval.
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation
To address this problem, we propose to aggregate the learnable covariance matrices with a deformable 4D Transformer to effectively predict the segmentation map.
Ranked #1 on
Few-Shot Semantic Segmentation
on FSS-1000 (5-shot)
Video Crowd Localization with Multi-focus Gaussian Neighborhood Attention and a Large-Scale Benchmark
Video crowd localization is a crucial yet challenging task, which aims to estimate exact locations of human heads in the given crowded videos.
Reconstructive Sequence-Graph Network for Video Summarization
Then, the videos are summarized by exploiting both the local and global dependencies among shots.
Video Frame Interpolation via Residue Refinement
Video frame interpolation achieves temporal super-resolution by generating smooth transitions between frames.
Ranked #14 on
Video Frame Interpolation
on Vimeo90K
Object Detection and 3D Estimation via an FMCW Radar Using a Fully Convolutional Network
This paper considers object detection and 3D estimation using an FMCW radar.
