Media Summary: In this paper, we study the problem of temporal video grounding (TVG), which aims to predict the starting/ending time points of ... In this video, we present our paper on probing and instilling video-language models with a sense of time. We consider before/after ... QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation.
Timebalance Cvpr 2023 - Detailed Analysis & Overview
In this paper, we study the problem of temporal video grounding (TVG), which aims to predict the starting/ending time points of ... In this video, we present our paper on probing and instilling video-language models with a sense of time. We consider before/after ... QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation. Existing methods for capturing datasets of 3D heads in dense semantic correspondence are slow, and commonly address the ... Video of our paper titled: "TempSAL - Uncovering Temporal Information for Deep Saliency Prediction" Project page ... Project page: Code/models/benchmarks: Paper: ...
Tl;dr: We propose a new approach to video-language representation learning by leveraging pre-trained large language models ... [CVPR 2023] EfficientViT: Memory Efficient Vision Transformer With Cascaded Group Attention This work aims on challenging the common design philosophy of the Vision Transformer (ViT) model with uniform dimension ... ProjectPage: Arxiv: HomePage Abstract: ... TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous ... [CVPR 2023 Highlight] Autoregressive Visual Tracking
[CVPR 2023] Decomposed Cross-modal Distillation for RGB based Temporal Action Detection By: Avinash Paliwal, Andrii Tsarov, Nima Khademi Kalantari Project Page: ... SimpSON: Simplifying Photo Cleanup With Single-Click Distracting Object Segmentation Network Authors: Chuong Huynh, ... This is the video demonstrating the effectiveness of our proposed TBP-Former.