research
∙
09/02/2023
Contrastive Feature Masking Open-Vocabulary Vision Transformer
We present Contrastive Feature Masking Vision Transformer (CFM-ViT) - an...
share
research
∙
05/11/2023
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers
We present Region-aware Open-vocabulary Vision Transformers (RO-ViT) - a...
research
∙
04/12/2023
RECLIP: Resource-efficient CLIP by Training with Small Images
We present RECLIP (Resource-efficient CLIP), a simple method that minimi...
research
∙
04/10/2023
Neural Image-based Avatars: Generalizable Radiance Fields for Human Avatar Modeling
We present a method that enables synthesizing novel views and novel pose...
research
∙
04/10/2023
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation
Video Panoptic Segmentation (VPS) aims to achieve comprehensive pixel-le...
research
∙
03/29/2023
MaMMUT: A Simple Architecture for Joint Learning for MultiModal Tasks
The development of language models have moved from encoder-decoder to de...
research
∙
06/17/2022
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation
We propose Clustering Mask Transformer (CMT-DeepLab), a transformer-base...
research
∙
05/30/2022
TubeFormer-DeepLab: Video Mask Transformer
We present TubeFormer-DeepLab, the first attempt to tackle multiple core...
research
∙
09/15/2021
Neural Human Performer: Learning Generalizable Radiance Fields for Human Performance Rendering
In this paper, we aim at synthesizing a free-viewpoint video of an arbit...
research
∙
08/15/2021
Learning Open-World Object Proposals without Learning to Classify
Object proposals have become an integral preprocessing steps of many vis...
research
∙
06/17/2021
DeepLab2: A TensorFlow Library for Deep Labeling
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a ...
research
∙
06/17/2021
Learning to Associate Every Segment for Video Panoptic Segmentation
Temporal correspondence - linking pixels or objects across frames - is a...
research
∙
11/26/2020
The Devil is in the Boundary: Exploiting Boundary Representation for Basis-based Instance Segmentation
Pursuing a more coherent scene understanding towards real-time vision ap...
research
∙
06/19/2020
Video Panoptic Segmentation
Panoptic segmentation has become a new standard of visual recognition ta...
research
∙
02/03/2020
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling
Visual storytelling is a task of creating a short story based on photo s...
research
∙
08/21/2019
Preserving Semantic and Temporal Consistency for Unpaired Video-to-Video Translation
In this paper, we investigate the problem of unpaired video-to-video tra...
research
∙
05/30/2019
Align-and-Attend Network for Globally and Locally Coherent Video Inpainting
We propose a novel feed-forward network for video inpainting. We use a s...
research
∙
05/08/2019
Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
Blind video decaptioning is a problem of automatically removing text ove...
research
∙
05/05/2019
Deep Video Inpainting
Video inpainting aims to fill spatio-temporal holes with plausible conte...
research
∙
11/24/2018
Self-Supervised Video Representation Learning with Space-Time Cubic Puzzles
Self-supervised tasks such as colorization, inpainting and zigsaw puzzle...
research
∙
11/24/2018
Discriminative Feature Learning for Unsupervised Video Summarization
In this paper, we address the problem of unsupervised video summarizatio...
research
∙
11/15/2018
LinkNet: Relational Embedding for Scene Graph
Objects and their relationships are critical contents for image understa...
research
∙
02/06/2018
Learning Image Representations by Completing Damaged Jigsaw Puzzles
In this paper, we explore methods of complicating self-supervised tasks ...
research
∙
08/07/2017
