Sharky.TV

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National University of Singapore

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berkeley college

We are explorers of the world of marine animals. We love sharks and everything related to them. In our free time, we organize underwater adventures for those who are thirsty for thrills. Our experience allows us to suggest where and what kind of expedition will be perfect for loners, families, trips with friends. If you have any questions about marine animals, feel free to discuss! We are not afraid of any topic. Our editorial staff consists of eminent specialists in the field of shark behavior and their origin. We strive to ensure that the content we provide you is always at the highest level.

Contact

e-mail: contact@sharky.tv

Featured Co-authors

Wei Wang
391 publications
Yang Liu
344 publications
Bo Li
340 publications
Wei Liu
320 publications
Xin Wang
299 publications
Yi Yang
237 publications
Xin Li
206 publications
Masashi Sugiyama
197 publications
Qi Tian
194 publications
Liang Lin
190 publications
Yang Yang
185 publications

∙ 08/01/2022

AvatarGen: a 3D Generative Model for Animatable Human Avatars

Unsupervised generation of clothed virtual humans with various appearanc...

Jianfeng Zhang, et al. ∙

∙ 07/27/2022

Contrastive Masked Autoencoders are Stronger Vision Learners

Masked image modeling (MIM) has achieved promising results on various vi...

Zhicheng Huang, et al. ∙

∙ 07/16/2022

Clover: Towards A Unified Video-Language Alignment and Fusion Model

Building a universal video-language model for solving various video unde...

Jingjia Huang, et al. ∙

∙ 05/28/2022

Divide to Adapt: Mitigating Confirmation Bias for Domain Adaptation of Black-Box Predictors

Domain Adaptation of Black-box Predictors (DABP) aims to learn a model o...

Jianfei Yang, et al. ∙

∙ 05/27/2022

Sharpness-Aware Training for Free

Modern deep neural networks (DNNs) have achieved state-of-the-art perfor...

Jiawei Du, et al. ∙

∙ 05/23/2022

Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction

How to accurately predict the properties of molecules is an essential pr...

Kuangqi Zhou, et al. ∙

∙ 04/26/2022

Understanding The Robustness in Vision Transformers

Recent studies show that Vision Transformers(ViTs) exhibit strong robust...

Daquan Zhou, et al. ∙

∙ 03/29/2022

PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision

Existing self-supervised 3D human pose estimation schemes have largely r...

Kehong Gong, et al. ∙

∙ 03/29/2022

Generalizing Few-Shot NAS with Gradient Matching

Efficient performance estimation of architectures drawn from large searc...

Shoukang Hu, et al. ∙

∙ 02/15/2022

SODAR: Segmenting Objects by DynamicallyAggregating Neighboring Mask Representations

Recent state-of-the-art one-stage instance segmentation model SOLO divid...

PetsTime, et al. ∙

∙ 01/30/2022

The Geometry of Robust Value Functions

The space of value functions is a fundamental concept in reinforcement l...

Kaixin Wang, et al. ∙

∙ 01/12/2022

Towards Adversarially Robust Deep Image Denoising

This work systematically investigates the adversarial robustness of deep...

Hanshu Yan, et al. ∙

∙ 12/16/2021

UMAD: Universal Model Adaptation under Domain and Category Shift

Learning to reject unknown samples (not present in the source classes) i...

Jian Liang, et al. ∙

∙ 12/09/2021

Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning

Class Incremental Learning (CIL) aims at learning a multi-class classifi...

Yujun Shi, et al. ∙

∙ 12/08/2021

Geometry-Guided Progressive NeRF for Generalizable and Efficient Neural Human Rendering

In this work we develop a generalizable and efficient Neural Radiance Fi...

Mingfei Chen, et al. ∙

∙ 11/30/2021

Shunted Self-Attention via Multi-Scale Token Aggregation

Recent Vision Transformer (ViT) models have demonstrated encouraging res...

Sucheng Ren, et al. ∙

∙ 11/22/2021

MetaFormer is Actually What You Need for Vision

Transformers have shown great potential in computer vision tasks. A comm...

Weihao Yu, et al. ∙

∙ 11/07/2021

Direct Multi-view Multi-person 3D Pose Estimation

We present Multi-view Pose transformer (MvP) for estimating multi-person...

PetsTime, et al. ∙

∙ 10/09/2021

Deep Long-Tailed Learning: A Survey

Deep long-tailed learning, one of the most challenging problems in visua...

Yifan Zhang, et al. ∙

∙ 10/07/2021

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks

Overparametrized Deep Neural Networks (DNNs) often achieve astounding pe...

Jiawei Du, et al. ∙

∙ 09/15/2021

PnP-DETR: Towards Efficient Visual Analysis with Transformers

Recently, DETR pioneered the solution of vision tasks with transformers,...

PetsTime, et al. ∙

∙ 09/13/2021

DHA: End-to-End Joint Optimization of Data Augmentation Policy, Hyper-parameter and Architecture

Automated machine learning (AutoML) usually involves several crucial com...

Kaichen Zhou, et al. ∙

∙ 09/06/2021

Voxel Transformer for 3D Object Detection

We present Voxel Transformer (VoTr), a novel and effective voxel-based T...

Jiageng Mao, et al. ∙

∙ 08/08/2021

Triplet Contrastive Learning for Brain Tumor Classification

Brain tumor is a common and fatal form of cancer which affects both adul...

Tian Yu Liu, et al. ∙

∙ 07/20/2021

Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision

Existing long-tailed recognition methods, aiming to train class-balance ...

Yifan Zhang, et al. ∙

∙ 07/12/2021

Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing

The Laplacian representation recently gains increasing attention for rei...

Kaixin Wang, et al. ∙

∙ 07/05/2021

Recovering the Unbiased Scene Graphs from the Biased Ones

Given input images, scene graph generation (SGG) aims to produce compreh...

Meng-Jiun Chiou, et al. ∙

∙ 06/24/2021

VOLO: Vision Outlooker for Visual Recognition

Visual recognition has been dominated by convolutional neural networks (...

Li Yuan, et al. ∙

∙ 06/23/2021

Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition

In this paper, we present Vision Permutator, a conceptually simple and d...

Qibin Hou, et al. ∙

∙ 06/22/2021

LV-BERT: Exploiting Layer Variety for BERT

Modern pre-trained language models are mostly built upon backbones stack...

Weihao Yu, et al. ∙

∙ 06/09/2021

No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data

A central challenge in training classification models in the real-world ...

Mi Luo, et al. ∙

∙ 05/31/2021

Image-to-Video Generation via 3D Facial Dynamics

We present a versatile model, FaceAnime, for various video generation ta...

Xiaoguang Tu, et al. ∙

∙ 05/26/2021

PSGAN++: Robust Detail-Preserving Makeup Transfer and Removal

In this paper, we address the makeup transfer and removal tasks simultan...

Si Liu, et al. ∙

∙ 05/25/2021

ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos

Detecting human-object interactions (HOI) is an important step toward a ...

Meng-Jiun Chiou, et al. ∙

∙ 05/10/2021

Continual Learning via Bit-Level Information Preserving

Continual learning tackles the setting of learning different tasks seque...

Yujun Shi, et al. ∙

∙ 05/06/2021

Body Meshes as Points

We consider the challenging multi-person 3D body mesh estimation task in...

Jianfeng Zhang, et al. ∙

∙ 05/06/2021

PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation

Existing 3D human pose estimators suffer poor generalization performance...

Kehong Gong, et al. ∙

∙ 04/25/2021

How Well Self-Supervised Pre-Training Performs with Streaming Data?

The common self-supervised pre-training practice requires collecting mas...

Dapeng Hu, et al. ∙

∙ 04/22/2021

Token Labeling: Training a 85.4 56M Parameters on ImageNet

This paper provides a strong baseline for vision transformers on the Ima...

Zihang Jiang, et al. ∙

∙ 04/04/2021

Distill and Fine-tune: Effective Adaptation from a Black-box Source Model

To alleviate the burden of labeling, unsupervised domain adaptation (UDA...

Jian Liang, et al. ∙

∙ 03/30/2021

Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation

Temporal action proposal generation (TAPG) is a fundamental and challeng...

Shuning Chang, et al. ∙

∙ 03/22/2021

DeepViT: Towards Deeper Vision Transformer

Vision transformers (ViTs) have been successfully applied in image class...

Daquan Zhou, et al. ∙

∙ 03/22/2021

AutoSpace: Neural Architecture Search with Less Human Interference

Current neural architecture search (NAS) algorithms still require expert...

Daquan Zhou, et al. ∙

∙ 03/04/2021

Coordinate Attention for Efficient Mobile Network Design

Recent studies on mobile network design have demonstrated the remarkable...

Qibin Hou, et al. ∙

∙ 02/12/2021

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning

Contrastive self-supervised learning (CSL) leverages unlabeled data to t...

Yifan Zhang, et al. ∙

∙ 02/10/2021

CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection

We investigate the adversarial robustness of CNNs from the perspective o...

Hanshu Yan, et al. ∙

∙ 01/28/2021

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Transformers, which are popular for language modeling, have been explore...

Li Yuan, et al. ∙

∙ 01/11/2021

ORDNet: Capturing Omni-Range Dependencies for Scene Parsing

Learning to capture dependencies between spatial positions is essential ...

Shaofei Huang, et al. ∙

∙ 12/14/2020

Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer

Unsupervised domain adaptation (UDA) aims to transfer knowledge from a r...

Jian Liang, et al. ∙

∙ 11/11/2020

Adversarial images for the primate brain

Deep artificial neural networks have been proposed as a model of primate...

Li Yuan, et al. ∙