b'Jianfei Cai'

research

∙ 08/15/2023

ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces

In recent years, neural implicit surface reconstruction has emerged as a...

0 Qianyi Wu, et al. ∙

research

∙ 07/17/2023

Unified Open-Vocabulary Dense Visual Prediction

In recent years, open-vocabulary (OV) dense visual prediction (such as O...

0 Hengcan Shi, et al. ∙

research

∙ 07/10/2023

CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation

New lesion segmentation is essential to estimate the disease progression...

0 Yicheng Wu, et al. ∙

research

∙ 07/07/2023

Open-Vocabulary Object Detection via Scene Graph Discovery

In recent years, open-vocabulary (OV) object detection has attracted inc...

0 Hengcan Shi, et al. ∙

research

∙ 06/30/2023

Stitched ViTs are Flexible Vision Backbones

Large pretrained plain vision Transformers (ViTs) have been the workhors...

0 Zizheng Pan, et al. ∙

research

∙ 04/24/2023

Explicit Correspondence Matching for Generalizable Neural Radiance Fields

We present a new generalizable NeRF method that is able to directly gene...

2 Yuedong Chen, et al. ∙

research

∙ 03/09/2023

Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation

Weakly-supervised point cloud segmentation with extremely limited labels...

0 Zhonghua Wu, et al. ∙

research

∙ 02/13/2023

Stitchable Neural Networks

The public model zoo containing enormous powerful pretrained model famil...

0 Zizheng Pan, et al. ∙

research

∙ 02/12/2023

Vector Quantized Wasserstein Auto-Encoder

Learning deep discrete latent presentations offers a promise of better s...

0 Tung-Long Vuong, et al. ∙

research

∙ 01/18/2023

Class Enhancement Losses with Pseudo Labels for Zero-shot Semantic Segmentation

Recent mask proposal models have significantly improved the performance ...

0 Son Duy Dao, et al. ∙

research

∙ 11/27/2022

Learning Object-Language Alignments for Open-Vocabulary Object Detection

Existing object detection methods are bounded in a fixed-set vocabulary ...

0 Chuang Lin, et al. ∙

research

∙ 11/12/2022

MARLIN: Masked Autoencoder for facial video Representation LearnINg

This paper proposes a self-supervised approach to learn universal facial...

0 Zhixi Cai, et al. ∙

research

∙ 10/04/2022

Learning to Collocate Visual-Linguistic Neural Modules for Image Captioning

Humans tend to decompose a sentence into different parts like sth do sth...

0 Xu Yang, et al. ∙

research

∙ 09/30/2022

ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing

Sketch-and-extrude is a common and intuitive modeling process in compute...

0 Daxuan Ren, et al. ∙

research

∙ 09/19/2022

EcoFormer: Energy-Saving Attention with Linear Complexity

Transformer is a transformative framework that models sequential data an...

0 Jing Liu, et al. ∙

research

∙ 09/19/2022

MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation

Although two-stage Vector Quantized (VQ) generative models allow for syn...

0 Chuanxia Zheng, et al. ∙

research

∙ 08/23/2022

FocusFormer: Focusing on What We Need via Architecture Sampler

Vision Transformers (ViTs) have underpinned the recent breakthroughs in ...

0 Jing Liu, et al. ∙

research

∙ 07/20/2022

Object-Compositional Neural Implicit Surfaces

The neural implicit representation has shown its effectiveness in novel ...

7 Qianyi Wu, et al. ∙

research

∙ 07/19/2022

Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation

Weakly supervised point cloud segmentation, i.e. semantically segmenting...

0 Zhonghua Wu, et al. ∙

research

∙ 05/26/2022

Fast Vision Transformers with HiLo Attention

Vision Transformers (ViTs) have triggered the most recent and significan...

0 Zizheng Pan, et al. ∙

research

∙ 05/14/2022

Transformer Scale Gate for Semantic Segmentation

Effectively encoding multi-scale contextual information is crucial for a...

0 Hengcan Shi, et al. ∙

research

∙ 04/15/2022

Image Captioning In the Transformer Age

Image Captioning (IC) has achieved astonishing developments by incorpora...

0 Yang Xu, et al. ∙

research

∙ 04/05/2022

High-Quality Pluralistic Image Completion via Code Shared VQGAN

PICNet pioneered the generation of multiple and diverse results for imag...

0 Chuanxia Zheng, et al. ∙

research

∙ 03/21/2022

Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields

Image translation and manipulation have gain increasing attention along ...

10 Yuedong Chen, et al. ∙

research

∙ 03/02/2022

Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation

Semi-supervised segmentation remains challenging in medical imaging sinc...

0 Yicheng Wu, et al. ∙

research

∙ 01/18/2022

ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues

Object proposal generation is an important and fundamental task in compu...

0 Hengcan Shi, et al. ∙

research

∙ 01/18/2022

Unpaired Referring Expression Grounding via Bidirectional Cross-Modal Matching

Referring expression grounding is an important and challenging task in c...

0 Hengcan Shi, et al. ∙

research

∙ 12/31/2021

PiFeNet: Pillar-Feature Network for Real-Time 3D Pedestrian Detection from Point Cloud

We present PiFeNet, an efficient and accurate real-time 3D detector for ...

0 Duy-Tho Le, et al. ∙

research

∙ 11/24/2021

Sharpness-aware Quantization for Deep Neural Networks

Network quantization is an effective compression method to reduce the mo...

0 Jing Liu, et al. ∙

research

∙ 11/22/2021

Mesa: A Memory-saving Training Framework for Transformers

There has been an explosion of interest in designing high-performance Tr...

15 Zizheng Pan, et al. ∙

research

∙ 11/10/2021

Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation

Vision-and-Language Navigation (VLN) is a task that an agent is required...

0 Chuang Lin, et al. ∙

research

∙ 09/21/2021

Enforcing Mutual Consistency of Hard Regions for Semi-supervised Medical Image Segmentation

In this paper, we proposed a novel mutual consistency network (MC-Net+) ...

18 Yicheng Wu, et al. ∙

research

∙ 08/24/2021

Auto-Parsing Network for Image Captioning and Visual Question Answering

We propose an Auto-Parsing Network (APN) to discover and exploit the inp...

0 Xu Yang, et al. ∙

research

∙ 08/19/2021

Semantic Compositional Learning for Low-shot Scene Graph Generation

Scene graphs provide valuable information to many downstream tasks. Many...

6 Tao He, et al. ∙

research

∙ 08/06/2021

Learning Meta-class Memory for Few-Shot Semantic Segmentation

Currently, the state-of-the-art methods treat few-shot semantic segmenta...

0 Zhonghua Wu, et al. ∙

research

∙ 08/03/2021

Elastic Architecture Search for Diverse Tasks with Different Resources

We study a new challenging problem of efficient deployment for diverse t...

0 Jing Liu, et al. ∙

research

∙ 07/27/2021

Remember What You have drawn: Semantic Image Manipulation with Memory

Image manipulation with natural language, which aims to manipulate image...

7 Xiangxi Shi, et al. ∙

research

∙ 07/26/2021

Towards Unbiased Visual Emotion Recognition via Causal Intervention

Although much progress has been made in visual emotion recognition, rese...

0 Yuedong Chen, et al. ∙

research

∙ 07/24/2021

Multi-Label Image Classification with Contrastive Learning

Recently, as an effective way of learning latent representations, contra...

0 Son D. Dao, et al. ∙

research

∙ 06/25/2021

Half-body Portrait Relighting with Overcomplete Lighting Representation

We present a neural-based model for relighting a half-body portrait imag...

0 Guoxian Song, et al. ∙

research

∙ 06/18/2021

RSG: A Simple but Effective Module for Learning Imbalanced Datasets

Imbalanced datasets widely exist in practice and area great challenge fo...

0 Jianfeng Wang, et al. ∙

research

∙ 05/29/2021

Less is More: Pay Less Attention in Vision Transformers

Transformers have become one of the dominant architectures in deep learn...

0 Zizheng Pan, et al. ∙

research

∙ 05/04/2021

End-to-end One-shot Human Parsing

Previous human parsing models are limited to parsing humans into pre-def...

0 Haoyu He, et al. ∙

research

∙ 04/12/2021

Visiting the Invisible: Layer-by-Layer Completed Scene Decomposition

Existing scene understanding systems mainly focus on recognizing the vis...

0 Chuanxia Zheng, et al. ∙

research

∙ 04/02/2021

The Spatially-Correlative Loss for Various Image Translation Tasks

We propose a novel spatially-correlative loss that is simple, efficient ...

1 Chuanxia Zheng, et al. ∙

research

∙ 04/02/2021

TFill: Image Completion via a Transformer-Based Architecture

Bridging distant context interactions is important for high quality imag...

1 Chuanxia Zheng, et al. ∙

research

∙ 03/19/2021

Scalable Visual Transformers with Hierarchical Pooling

The recently proposed Visual image Transformers (ViT) with pure attentio...

0 Zizheng Pan, et al. ∙

research

∙ 03/05/2021

Causal Attention for Vision-Language Tasks

We present a novel attention mechanism: Causal Attention (CATT), to remo...

0 Xu Yang, et al. ∙

research

∙ 03/04/2021

Semi-supervised Left Atrium Segmentation with Mutual Consistency Training

Semi-supervised learning has attracted great attention in the field of m...

0 Yicheng Wu, et al. ∙

research

∙ 01/13/2021

ABS: Automatic Bit Sharing for Model Compression

We present Automatic Bit Sharing (ABS) to automatically search for optim...

0 Jing Liu, et al. ∙

Jianfei Cai

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