d******e
发帖数: 7844 | 1 ICPR会议很一般，录取率40%。国内很多学校的硕士研究生就能发。
Pattern Recognition属于一流末尾的期刊，和IEEE Trans SMC Part(B)档次相当 |
|
v****s
发帖数: 1112 | 2 或者，你们学校有同学要过去开icpr的，而且没有roommate的，帮忙告知一下哈！ |
|
|
l********o
发帖数: 33 | 4 in vision, nowadays there is no such easy problem that can be solved in 4 pa
ges. therefore, accv is better than icpr/icip in this sense. in fact, many w
orkshops are much better than accv/icpr/icip. the progress in vision is slow
, and even some main conference papers are not so useful. now everyone moves
to machine learning where problems are easier to define. |
|
p***6
发帖数: 28 | 5 同求！computer vision，biometrics, multimedia，deep learning， image
processing，多谢！
恳求审稿机会，在读PhD, master+phd 5年时间，帮老板审稿包括：
Journal包括PAMI， CVIU，
Conference 包括 CVPR, ICPR, ICIP, BIBM.
自己直接被邀请的审稿包括:
Journal: Machine Vision and Applications
Conference: WACV，CVPR workshop
如果有机会，很希望能得到帮助，谢谢。 |
|
w****a
发帖数: 186 | 6 很粗略的分类，欢迎补充，全当抛砖引玉。
最牛的Conference:
International Conference on Computer Vision (ICCV)
Computer Vision and Pattern Recognition (CVPR)
European Conference on Computer Vision (ECCV)
差一些：
International Conference on Image Processing (ICIP)
International Conference on Pattern Recognition (ICPR)
Asian Conference on Computer Vision (ACCV)
最牛的Journal:
International Journal of Computer Vision (IJCV)
IEEE Trans. on Pattern Analysis and Machine Intellgence (PAMI) |
|
c********r
发帖数: 3 | 7 我认为应该是:
For Conference:
First tier: ICCV CVPR
1.5 tier: ECCV, ACM Multimedia
2nd tier: ICPR, ICME
3rd tier: ACCV, ICIP
For Journal:
First tier: PAMI, IJCV
2nd tier: CVIU, CVGIP |
|
n******y
发帖数: 7 | 8 everyone has different arguments in comparing cvpr/iccv, or ijcv/pami.
but i strongly argue that accv is better than icpr/icip...
ac** is not so bad, considering asia siggragh, acml, pakdd...
the world is changing |
|
c****m
发帖数: 179 | 9 大家基本公认 ICCV CVPR ECCV 是first tier了，甚至很多牛人的简历里都会特别注明
一下。
至于acm mm，我觉得和icpr icme，accv没啥区别。 |
|
r*****y
发帖数: 507 | 10 that's enough. :) don't always think about siggraph.
let we think about another way.
in graphics,
siggraph accepted 90 papers, and the top ten graphics conferences/symposium (including siggraph) totally accepted less than TOTAL 450 papers annually.
and look at other fields, for example, computer vision.
top (ICCV or EECV + CVPR) accepted more than 500 papers each year (about 100 oral totally), so their oral = siggraph papers.
and second tire vision conf (ICPR, ACCV, etc.) accpeted other more tha |
|
l******e
发帖数: 153 | 11 My rank is
CVPR,ICCV > ECCV > BMVC,WACV > ACCV,ICASSP,ICIP,ICPR |
|
l******e
发帖数: 153 | 12 I know ICASSP is good for speech. However, for vision, as far as I know, there
is a lot of vision guys publish papers there, and it seems quite easy (accept
rate is around 50, if not above).
I think you are right, I should also include SIGGRAPH, and NIPS, it should be
like
CVPR,ICCV,SIGGRAPH,NIPS > ECCV > BMVC,WACV > ACCV,ICASSP,ICIP,ICPR
BTW, I don't think image=vision, they have different focus, though overlapped
quite some. |
|
t*****g
发帖数: 200 | 13 一哥们在烂笑(cs 50+排名)做vision
一篇icpr oral, 一篇cvpr poster, 一篇cvpr oral. 都
第一作者,这样够毕业么.我觉得应该差不多吧? |
|
t******u
发帖数: 47 | 14 要求的话应该问题不大
但是如果这三篇是按时间顺序发的 老板估计不舍得放人 想在压榨压榨 hehe
而且现在可以把这些东西弄成一个或者两个journal 就是你和老板的双赢拉
一哥们在烂笑(cs 50+排名)做vision
一篇icpr oral, 一篇cvpr poster, 一篇cvpr oral. 都
第一作者,这样够毕业么.我觉得应该差不多吧? |
|
D*******y
发帖数: 366 | 15 一个国内博士在香港做博士后，发了几篇pattern recognition。 看起来像是不错的
journal。
一般美国的博士发会议 和杂志比这个好吗？ 想了解一下。 |
|
D*******y
发帖数: 366 | 16 真是隔行如隔山啊。B 类在计算机已经算不好了吗？
好像计算机杂志分类比较细了。
正在做一个东西，一篇paper引用了ICML里面一个multi-agent reinforcement
learning的文章。
我想知道有没有 比较 reinforcement learning, genetic algorithm, particle
swarm optimization 算法在动态环境的文章。
是不是后两个算 evolotionary ，前一个算heuristic? |
|
d******e
发帖数: 7844 | 17 作模式识别的和机器学习，顶级期刊是。
Journal of Machine Learning Research
Machine Leraning
IEEE Trans PAMI
再低一些是
IEEE Trans Neural Network
然后才是
IEEE Trans SMC(B)
Pattern Recognition
这些是纯机器学习和模式识别的杂志。
Data Mining和Visual Learning我没有算进来。
（和IEEE Trans NN同级的还有IEEE Trans TKDE,IEEE Trans Image Processing等等。
和PAMI平级的还有IJ Computer Vision等等） |
|
l******g
发帖数: 21 | 18 IJCV能和PAMI同级别吗？感觉他还弱点。嘿嘿，个人看法 |
|
|
v****s
发帖数: 1112 | 20 版上大牛太多了，不要笑话偶。。。
有希望share room的就赶紧站内信吧！谢谢！ |
|
v****s
发帖数: 1112 | 21 刚才忽然间网络挂了。。。无线抽风网。。。手快的大侠们见谅阿！ |
|
|
|
a*u
发帖数: 2334 | 24 想SHARE 一下房间, 12/09~10一个晚上
谢谢 |
|
G*****7
发帖数: 1759 | 25 印象：
focs = colt > uai = aistat，理论的干活，我们的不投
icml = nips ~ iccv = cvpr > eccv > ijcai = aaai >> icpr = wcci (ijcnn) |
|
B**r
发帖数: 311 | 26 Tang手下这样的master不少哈
X. Wang and X. Tang, "Random Sampling for Subspace Face Recognition," Int'l
J. Computer Vision (IJCV), vol. 70, no. 1, pp. 91-104, Oct. 2006.
X. Wang and X. Tang, "Hallucinating face by eigentransformation," IEEE Trans
. Systems, Man, and Cybernetics (SMC), Part C, vol. 35, no. 3, pp. 425-434,
Aug. 2005.
X. Wang and X. Tang, "Subspace Analysis Using Random Mixture Models," Proc.
IEEE Conf. Computer Vision and Pattern Recognition (CVPR), vol. 1, pp. 574-
580, Jun. 2005.
X. Wang... 阅读全帖 |
|
B**r
发帖数: 311 | 27 随便找了个master，也不错啊，这个领域本来就比较水
L. Cao, J. Liu and X. Tang "What the Back of the Object Looks Like: 3D
Reconstruction from Line Drawings without Hidden Lines," IEEE Trans. Pattern
Analysis and Machine Intelligence (PAMI), vol. 30, no. 3, pp. 507-517,
March. 2008.
J. Liu, L. Cao, Z. Li and X. Tang, "Plane-Based Optimization for 3D Object
Reconstruction from Single Line Drawings," IEEE Trans. Pattern Analysis and
Machine Intelligence (PAMI), vol. 30, no. 2, pp. 315-327, Feb. 2008.
S. Chen, L. Cao, J. ... 阅读全帖 |
|
t******0
发帖数: 629 | 28 多谢大侠指点：）
因为以前做的是嵌入式系统，所以一大半经历是放在硬件实现上的。
对于CNN或者顶层算法，我目前只能说我了解这种现成的技术并且熟悉它内部的操作细
节和过程，对于数学，我也不是专家，只是大概明白“OK是这么回事，LeCun好聪明啊
” 而已，在算法上我是没有贡献的，所以没有发表过这种paper。
但是我在ICPR（感觉级别有点。。。）上水过一篇算法的paper，是假装用仿生的神经
元模型构造DNN，识别效果不好，但我argue这是proof of concept 。。。本来想多花
些时间玩一玩主流的ＣＮＮ，但是professor认为我们ECE的人没有优势，所以必须弄出
一些奇怪的neural network。可是paper发了以后，跟任何interviewer介绍我的work时
，人家都表示听不懂也没兴趣。。。
所以我的科研经历，在这里是不是根本借不上力啊？我是不是应该在简历里少写一些硬
件实现和仿生神经网络，而换成业界常用的热词呢？虽然没有发表主流的CNN和DNN方面
的paper，但是我科研过程中走弯路的时候运气很好地研究过CNN，那么现在我自己利用
现成的framew... 阅读全帖 |
|
r******s
发帖数: 925 | 29 已有 2011 次阅读 2009-2-17 16:17 |个人分类:学术新动态|系统分类:观点评述
如同大学排行榜，无论是国内还是国外的榜单，
没有一个排行榜能令各方满意，这个会议排行榜估计也不例外，但应有一定的参考意义。
TopicsII为 AI/ML/Robotics/HCI几个方向一起排行，黑体为机器人及控制相关会议。
这几个方向交叉关联，实际上机器人方面的文章也可以投AI/ML甚至是HCI类会议。
Conference Rankings: Topics II
-- artificial Intelligence / Machine Learning / Robotics / Human Computer
Interaction
Although we will attempt to keep this information accurate, we cannot
guarantee the accuracy of the information provided. The numbers in brackets
correspond to the EIC value (Est... 阅读全帖 |
|
r******s
发帖数: 925 | 30 已有 2011 次阅读 2009-2-17 16:17 |个人分类:学术新动态|系统分类:观点评述
如同大学排行榜，无论是国内还是国外的榜单，
没有一个排行榜能令各方满意，这个会议排行榜估计也不例外，但应有一定的参考意义。
TopicsII为 AI/ML/Robotics/HCI几个方向一起排行，黑体为机器人及控制相关会议。
这几个方向交叉关联，实际上机器人方面的文章也可以投AI/ML甚至是HCI类会议。
Conference Rankings: Topics II
-- artificial Intelligence / Machine Learning / Robotics / Human Computer
Interaction
Although we will attempt to keep this information accurate, we cannot
guarantee the accuracy of the information provided. The numbers in brackets
correspond to the EIC value (Est... 阅读全帖 |
|
f**n
发帖数: 155 | 31 Conferences
Tier I:
ICCV - IEEE International Conference on Computer Vision
CVPR - IEEE Conference on Computer Vision and Pattern Recognition
ECCV - European Conference on Computer Vision
Tier II:
ICIP - IEEE International Conference on Image Processing
ICPR - International Conference on Pattern Recognition
ICASSP - International Conference on Acoustics, Speech, and Signal
Processing
Journals:
IEEE PAMI - IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Image Processing
IJCV - |
|
