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Understanding the Conference and Journal Landscape: A Comparison Guide
The Difficulty Ranking of Major Computer Science Conferences and Journals
When considering publication venues in computer science, researchers often wonder about the relative difficulty of getting their work accepted at different venues. The question of how IJCAI, ACM MM, ECCV, TNNLS, and TIP compare in terms of submission difficulty is a common one among researchers.
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Based on acceptance rates, reputation, and community perception, here's a general ranking from most to least difficult (though this can vary by subfield and year):
IJCAI (International Joint Conference on Artificial Intelligence) - With acceptance rates typically below 15%, this premier AI conference represents the pinnacle of difficulty for many researchers.
ECCV (European Conference on Computer Vision) - Another highly competitive venue with acceptance rates often under 20%, particularly challenging for computer vision researchers.
ACM MM (ACM Multimedia) - While still prestigious, it's generally considered slightly more accessible than the top-tier conferences above.
TIP (IEEE Transactions on Image Processing) - As a top-tier journal, TIP maintains rigorous standards with acceptance rates often below 20-25%.
TNNLS (IEEE Transactions on Neural Networks and Learning Systems) - Though highly respected, TNNLS is typically seen as somewhat more accessible than TIP, with acceptance rates that may be marginally higher.
The actual difficulty can vary significantly depending on your specific research area, the quality of your work, and current trends in the field.
Understanding the Difference: Tip vs Skill
Many people confuse the terms "tip" and "skill," but understanding the distinction is crucial for both personal development and professional communication.
A tip can be understood as a small technique, trick, or piece of advice—essentially a "小技巧" or "小窍门" in Chinese. Tips are typically quick, practical suggestions that can be immediately applied. When you accumulate many tips, you might achieve what's called "达人" status—someone who has mastered many useful tricks and shortcuts.
In contrast, a skill is something acquired through learning or practice—a "技艺" or "一技之长." Skills require dedicated effort to develop and master. When you reach the highest level of skill mastery, you might achieve "特级工" status, indicating exceptional expertise in your craft.
This distinction matters because tips can help you work more efficiently, but skills are what truly enable you to accomplish complex tasks and solve difficult problems in your field.
Finding Page Limits for Conference Submissions
When preparing a paper for submission to conferences like TSG or TIM, one of the first questions researchers encounter is: where can you find the page requirements, and what are the typical guidelines?
For most conferences, page requirements can be found in several locations:
The conference website's submission page - This is usually the most reliable source, often under sections like "Author Guidelines" or "Paper Submission."
The call for papers (CFP) - Published announcements typically include formatting requirements.
Template documents - Many conferences provide LaTeX or Word templates that include page limits.
Previous proceedings - Looking at papers from the previous year can give you a sense of typical length, though this should be verified against official guidelines.
Page requirements vary by conference but typically range from 8-10 pages for regular papers, with additional pages sometimes allowed for references. Some conferences have strict limits with additional page charges, while others are more flexible. Always check the most recent guidelines, as requirements can change from year to year.
Comparing TIP and TNNLS: Which Journal Is Right for You?
Difficulty Comparison and Review Times
When deciding between submitting to TIP (IEEE Transactions on Image Processing) and TNNLS (IEEE Transactions on Neural Networks and Learning Systems), researchers need to consider several factors including difficulty level and review time.
TIP is generally considered one of the most prestigious journals in image processing and computer vision. With acceptance rates typically in the 20-25% range, it's highly competitive. The review process at TIP is known for being thorough and can take anywhere from 3-6 months for the first decision, with additional time if revisions are required.
TNNLS, while also a top-tier journal, is often perceived as slightly less competitive than TIP. Acceptance rates may be marginally higher, though still challenging at roughly 25-30%. Review times at TNNLS are comparable to TIP, usually taking 3-5 months for initial decisions.
The choice between them should depend on your research topic rather than perceived difficulty. TIP is the natural home for image processing and computer vision research, while TNNLS is more appropriate for neural networks and machine learning work, particularly theoretical contributions in these areas.
Institutional Recognition: Journals vs Conferences
In the academic world, there's an ongoing debate about the relative value of journal publications versus conference publications, and how different institutions view them.
In elite academic institutions, there's often a balanced appreciation for both high-quality journals and top conferences. TIP, as a top journal, carries significant weight in these environments and can be considered "硬通货" (hard currency) similar to top conferences like CVPR.
However, in institutions that place primary emphasis on journal publications, TIP may actually be valued more highly than conference publications. This is because journals traditionally represent more thorough, complete research, and their peer-review process is often seen as more rigorous.
Interestingly, many researchers don't necessarily consider TIP to be inferior to CVPR or other top conferences. In fact, for certain types of research—particularly those requiring extensive validation or theoretical development—a TIP publication might be more appropriate and equally prestigious as a CVPR paper.
PR Journal: A Respected Venue in Its Own Right
PR (Pattern Recognition) is a classic, well-established journal that has been serving the research community for decades. Currently classified as a Chinese Academy of Sciences (CAS) Category I journal, PR has earned its reputation as one of the best venues in pattern recognition.
From an international perspective, PR is generally considered to be in the same tier as TIP, just below the very top venues like TPAMI (IEEE Transactions on Pattern Analysis and Machine Intelligence), IJCV (International Journal of Computer Vision), and JMLR (Journal of Machine Learning Research). Its reputation for quality and rigorous review makes it a respected publication choice.
However, the perception of PR can vary significantly by region. In China, there's currently a strong emphasis on "trans" journals (those with "transactions" in the name), which can sometimes disadvantage PR in comparison to TIP, despite their comparable quality. Additionally, the China Computer Federation (CCF) classifies PR as a B-class journal, while TIP receives an A-class rating, though both are recognized as top venues.
Understanding TPAMI's Focus and Scope
Why TPAMI Focuses Primarily on Computer Vision
A common question among researchers is why TPAMI (IEEE Transactions on Pattern Analysis and Machine Intelligence) seems to have almost no natural language processing (NLP) papers, despite pattern analysis and machine intelligence being relevant to NLP.
The answer lies in TPAMI's explicit scope definition. The journal's website clearly states that it primarily accepts submissions in computer vision and image understanding. This focus has developed over decades as the journal established itself as the premier venue for visual pattern analysis.
Several factors contribute to this specialization:
Historical development - TPAMI was founded during the early days of computer vision research and built its reputation in this area.
Community expectations - Authors and readers now associate TPAMI strongly with computer vision, creating a self-reinforcing cycle.
Review expertise - The journal has cultivated a reviewer pool with deep expertise in vision-related topics.
Competitive landscape - Other venues have emerged to serve NLP and other AI subfields, allowing TPAMI to maintain its vision focus.
This specialization doesn't mean TPAMI rejects all non-vision papers—it simply means that vision-related submissions are prioritized and have the highest chance of acceptance.
The Value of Publication Venues: Beyond Rankings
Quality Over Venue Name
When evaluating the "value" of a publication, it's important to recognize that at the highest levels, the true worth comes from the quality and impact of the work itself rather than the venue name. A groundbreaking paper in a slightly lower-tier venue can have more impact than a mediocre paper in a top venue.
This principle is particularly relevant when comparing journals like TPAMI and TRO (IEEE Transactions on Robotics). While TPAMI publishes many more papers annually than TRO, the relative value depends on your specific research community and the contribution of your work.
For instance, during my time as a master's student at a prominent Chinese university, I knew of students who published first-author papers in both TPAMI and TIP. However, I never heard of a master's student publishing first-author in TRO, suggesting that even getting a paper submitted to and reviewed by TRO represents a significant achievement.
The key takeaway is that you shouldn't assume one venue is universally "better" than another. The annual publication counts are low across all these top venues, and each serves a specific research community with its own standards and expectations.
Conclusion: Making Informed Publication Decisions
Navigating the publication landscape requires understanding not just the objective metrics like acceptance rates and impact factors, but also the subjective factors like community perception, institutional preferences, and the specific nature of your research contribution.
Whether you're deciding between TIP and TNNLS, wondering about the value of PR versus "trans" journals, or trying to understand why TPAMI focuses on computer vision, the most important consideration is whether the venue aligns with your research and career goals.
Remember that the publication journey is highly competitive regardless of the venue you choose. Focus on producing high-quality research, carefully read submission guidelines, and be prepared for a potentially lengthy review process. With persistence and strategic choices, you can find the right home for your work and contribute meaningfully to your field.
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