research
∙
07/11/2023
Generative Pretraining in Multimodality
We present Emu, a Transformer-based multimodal foundation model, which c...
share
research
∙
05/27/2023
Towards Better Entity Linking with Multi-View Enhanced Distillation
Dense retrieval is widely used for entity linking to retrieve entities f...
research
∙
04/06/2023
SegGPT: Segmenting Everything In Context
We present SegGPT, a generalist model for segmenting everything in conte...
research
∙
03/30/2023
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Large-scale text-to-image diffusion models achieve unprecedented success...
research
∙
03/27/2023
EVA-CLIP: Improved Training Techniques for CLIP at Scale
Contrastive language-image pre-training, CLIP for short, has gained incr...
research
∙
03/20/2023
EVA-02: A Visual Representation for Neon Genesis
We launch EVA-02, a next-generation Transformer-based visual representat...
research
∙
12/05/2022
Images Speak in Images: A Generalist Painter for In-Context Visual Learning
In-context learning, as a new paradigm in NLP, allows the model to rapid...
research
∙
11/14/2022
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
We launch EVA, a vision-centric foundation model to explore the limits o...
research
∙
06/01/2022
Point-Teaching: Weakly Semi-Supervised Object Detection with Point Annotations
Point annotations are considerably more time-efficient than bounding box...
research
∙
02/24/2022
FreeSOLO: Learning to Segment Objects without Annotations
Instance segmentation is a fundamental vision task that aims to recogniz...
research
∙
01/19/2022
Poseur: Direct Human Pose Regression with Transformers
We propose a direct, regression-based approach to 2D human pose estimati...
research
∙
06/30/2021
SOLO: A Simple Framework for Instance Segmentation
Compared to many other dense prediction tasks, e.g., semantic segmentati...
research
∙
05/29/2021
FCPose: Fully Convolutional Multi-Person Pose Estimation with Dynamic Instance-Aware Convolutions
We propose a fully convolutional multi-person pose estimation framework ...
research
∙
03/29/2021
TFPose: Direct Human Pose Estimation with Transformers
We propose a human pose estimation framework that solves the task in the...
research
∙
12/21/2020
Diverse Knowledge Distillation for End-to-End Person Search
Person search aims to localize and identify a specific person from a gal...
research
∙
12/03/2020
BoxInst: High-Performance Instance Segmentation with Box Annotations
We present a high-performance method that can achieve mask-level instanc...
research
∙
11/30/2020
End-to-End Video Instance Segmentation with Transformers
Video instance segmentation (VIS) is the task that requires simultaneous...
research
∙
11/18/2020
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
To date, most existing self-supervised learning methods are designed and...
research
∙
03/23/2020
SOLOv2: Dynamic, Faster and Stronger
In this work, we aim at building a simple, direct, and fast instance seg...
research
∙
02/03/2020
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data
We present a method for depth estimation with monocular images, which ca...
research
∙
12/10/2019
SOLO: Segmenting Objects by Locations
We present a new, embarrassingly simple approach to instance segmentatio...
research
∙
09/17/2019
Task-Aware Monocular Depth Estimation for 3D Object Detection
Monocular depth estimation enables 3D perception from a single 2D image,...
research
∙
02/26/2019
Associatively Segmenting Instances and Semantics in Point Clouds
A 3D point cloud describes the real scene precisely and intuitively.To d...
research
∙
11/21/2017
Repulsion Loss: Detecting Pedestrians in a Crowd
Detecting individual pedestrians in a crowd remains a challenging proble...
research
∙
07/11/2017