ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.03579
  4. Cited By
Adaptively Connected Neural Networks

Adaptively Connected Neural Networks

7 April 2019
Guangrun Wang
Keze Wang
Liang Lin
ArXivPDFHTML

Papers citing "Adaptively Connected Neural Networks"

8 / 8 papers shown
Title
SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis
Guangcong Wang
Zhaoxi Chen
Chen Change Loy
Ziwei Liu
MDE
54
179
0
28 Mar 2023
Beyond Fixation: Dynamic Window Visual Transformer
Beyond Fixation: Dynamic Window Visual Transformer
Pengzhen Ren
Changlin Li
Guangrun Wang
Yun Xiao
Qing Du
Xiaodan Liang
Qing Du Xiaodan Liang Xiaojun Chang
ViT
33
32
0
24 Mar 2022
TCGL: Temporal Contrastive Graph for Self-supervised Video
  Representation Learning
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning
Yang Liu
Keze Wang
Lingbo Liu
Hao Lan
Liang Lin
SSL
AI4TS
53
113
0
07 Dec 2021
Onfocus Detection: Identifying Individual-Camera Eye Contact from
  Unconstrained Images
Onfocus Detection: Identifying Individual-Camera Eye Contact from Unconstrained Images
Dingwen Zhang
Bo Wang
Gerong Wang
Qiang Zhang
Jiajia Zhang
Jungong Han
Zheng You
30
19
0
29 Mar 2021
Graph-Based Global Reasoning Networks
Graph-Based Global Reasoning Networks
Yunpeng Chen
Marcus Rohrbach
Zhicheng Yan
Shuicheng Yan
Jiashi Feng
Yannis Kalantidis
GNN
NAI
268
457
0
30 Nov 2018
On a Sparse Shortcut Topology of Artificial Neural Networks
On a Sparse Shortcut Topology of Artificial Neural Networks
Fenglei Fan
Dayang Wang
Hengtao Guo
Qikui Zhu
Pingkun Yan
Ge Wang
Hengyong Yu
38
22
0
22 Nov 2018
Batch Kalman Normalization: Towards Training Deep Neural Networks with
  Micro-Batches
Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches
Guangrun Wang
Jiefeng Peng
Ping Luo
Xinjiang Wang
Liang Lin
29
18
0
09 Feb 2018
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
263
1,812
0
25 Nov 2016
1