Detection-by-Localization: Maintenance-Free Change Object Detector

Recent researches demonstrate that self-localization performance is a very useful measure of likelihood-of-change (LoC) for change detection. In this paper, this "detection-by-localization" scheme is studied in a novel generalized task of object-level change detection. In our framework, a given query image is segmented into object-level subimages (termed "scene parts"), which are then converted to subimage-level pixel-wise LoC maps via the detection-by-localization scheme. Our approach models a self-localization system as a ranking function, outputting a ranked list of reference images, without requiring relevance score. Thanks to this new setting, we can generalize our approach to a broad class of self-localization systems. Our ranking based self-localization model allows to fuse self-localization results from different modalities via an unsupervised rank fusion derived from a field of multi-modal information retrieval (MMR).Comment: 7 pages, 3 figures, Technical repor

Math Search for the Masses: Multimodal Search Interfaces and Appearance-Based Retrieval

We summarize math search engines and search interfaces produced by the Document and Pattern Recognition Lab in recent years, and in particular the min math search interface and the Tangent search engine. Source code for both systems are publicly available. "The Masses" refers to our emphasis on creating systems for mathematical non-experts, who may be looking to define unfamiliar notation, or browse documents based on the visual appearance of formulae rather than their mathematical semantics.Comment: Paper for Invited Talk at 2015 Conference on Intelligent Computer Mathematics (July, Washington DC

Structuring Wikipedia Articles with Section Recommendations

Sections are the building blocks of Wikipedia articles. They enhance readability and can be used as a structured entry point for creating and expanding articles. Structuring a new or already existing Wikipedia article with sections is a hard task for humans, especially for newcomers or less experienced editors, as it requires significant knowledge about how a well-written article looks for each possible topic. Inspired by this need, the present paper defines the problem of section recommendation for Wikipedia articles and proposes several approaches for tackling it. Our systems can help editors by recommending what sections to add to already existing or newly created Wikipedia articles. Our basic paradigm is to generate recommendations by sourcing sections from articles that are similar to the input article. We explore several ways of defining similarity for this purpose (based on topic modeling, collaborative filtering, and Wikipedia's category system). We use both automatic and human evaluation approaches for assessing the performance of our recommendation system, concluding that the category-based approach works best, achieving precision@10 of about 80% in the human evaluation.Comment: SIGIR '18 camera-read

Engagement in a Public Forum: Knowledge, Action, and Cosmopolitanism

Facing challenges to the civic purpose of higher education, some scholars and administrators turn to the rhetoric of engagement. Simultaneously, the political philosophy of cosmopolitanism has gained intellectual favor, advocating openness to the lived experiences of distant others. We articulate linkages between these two discourses in an extended case study, finding that a cosmopolitan ethos of engagement in a rural context can improve (1) understanding among people ordinarily separated by spatialized social-ecological differences, (2) prospects for longer term environmental sustainability, and (3) the visionary potential of collaborative inquiry. Despite globalization of food systems and neoliberal shifts in fishery management, an annual fisheries forum facilitates coalitions that overcome dichotomies between technocratic and local knowledge, extending benefits to fishing communities, academia, and public policy. Iterative and loosely structured capacity building expands informally through affective processes of recognition and care, as decentralized leadership supports collective mobilization toward alternate futures

Self-Supervised and Controlled Multi-Document Opinion Summarization

We address the problem of unsupervised abstractive summarization of collections of user generated reviews with self-supervision and control. We propose a self-supervised setup that considers an individual document as a target summary for a set of similar documents. This setting makes training simpler than previous approaches by relying only on standard log-likelihood loss. We address the problem of hallucinations through the use of control codes, to steer the generation towards more coherent and relevant summaries.Finally, we extend the Transformer architecture to allow for multiple reviews as input. Our benchmarks on two datasets against graph-based and recent neural abstractive unsupervised models show that our proposed method generates summaries with a superior quality and relevance.This is confirmed in our human evaluation which focuses explicitly on the faithfulness of generated summaries We also provide an ablation study, which shows the importance of the control setup in controlling hallucinations and achieve high sentiment and topic alignment of the summaries with the input reviews.Comment: 18 pages including 5 pages appendi

Is democratisation bad for global warming?

Summary: even if democracy and all good things go together the same may not be as true of democratisation. Given the growing number of countries that have attempted democratisation, with varying success, and as the challenge of addressing the causes of climate change becomes increasingly more urgent, it is worth knowing if democratisation makes that challenge more difficult. Similarly it is worth knowing if the political conditions for an effective response to climate instability and its economic and social consequences must impact on the outlook for democratisation. Although contrary to what was once believed, developing countries may not have the dilemma of having to choose between developing the economy and building democracy, the further addition of a requirement to significantly reduce carbon emissions might be just too demanding. The paper offers a framework of analysis as a preliminary to more detailed empirical investigation. It concludes with policy implications for international actors committed to promoting democracy, considering that in developing countries stable authoritarian rule might be better placed than regimes in political transition to mitigate climate change as well as adapt to its effects