Search Results for author:
Found 5 papers, 2 papers with code
Unleash the Potential of CLIP for Video Highlight Detection
Multimodal and large language models (LLMs) have revolutionized the utilization of open-world knowledge, unlocking novel potentials across various tasks and applications.
Ranked #1 on
Highlight Detection
on QVHighlights
ConcatPlexer: Additional Dim1 Batching for Faster ViTs
Transformers have demonstrated tremendous success not only in the natural language processing (NLP) domain but also the field of computer vision, igniting various creative approaches and applications.
MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs
In this work, we propose MixNeRF, an effective training strategy for novel view synthesis from sparse inputs by modeling a ray with a mixture density model.
Few-shot Image Generation with Mixup-based Distance Learning
Producing diverse and realistic images with generative models such as GANs typically requires large scale training with vast amount of images.
The U-Net based GLOW for Optical-Flow-free Video Interframe Generation
Through experiments, we \sam {confirmed the feasibility of the proposed algorithm and would like to suggest the U-Net based Generative Flow as a new possibility for baseline in video frame interpolation.
