Object level grouping for video shots by Sivic, J, Schaffalitzky, F, Zisserman, A

“…In turn this enables object-level matching and recognition throughout a video. …”

Object level grouping for video shots by Sivic, J, Schaffalitzky, F, Zisserman, A

“…<p>We describe a method for automatically associating image patches from frames of a movie shot into object-level groups. The method employs both the appearance and motion of the patches.…”

Ensuring legitimate project-level claims about net biodiversity outcomes by Sonter, LJ, Maron, M, Metaxas, A, Bull, JW

“…However, we explain why such indirect benefits should not contribute towards the accounting of project-level net biodiversity outcomes and provide guidance on the steps needed to legitimately claim no-net-loss of biodiversity.…”

Made to order: discovering monotonic temporal changes via self-supervised video ordering by Yang, C, Xie, W, Zisserman, A

“…We demonstrate applications of the model in multiple domains covering different scene and object types, discovering both object-level and environmental changes in unseen sequences. …”

Oxford-IIIT TRECVID 2010 – notebook paper by Juneja, M, Chandra, S, Parkhi, OM, Jawahar, CV, Vedaldi, A, Marszalek, M, Zisserman, A

“…All runs used a combination of an image-level dense visual words classifier and an object-level part based detector. For each of the ten features, these two methods were ranked based on their performance on a validation set and associated to successive runs by decreasing performance (we also used a number of different techniques to recombine the scores). …”

NeuralFloors++: consistent street-level scene generation from BEV semantic maps by Musat, V, De Martini, D, Gadd, M, Newman, P

“…We extend our prior work - NeuralFloors, to include multiple-view outputs, style manipulation for finer control at the object level through instance-wise style maps and cross-frame consistency via auto-regressive training. …”

Vision language representation learning by Yang, Xiaofeng

“…Firstly, we propose a tiered network to effectively learn both object-level vision language correspondence and relation-level vision language correspondence. …”
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Robust partial-to-partial point cloud registration in a full range by Pan, Liang, Cai, Zhongang, Liu, Ziwei

“…In this work, we propose the Graph Matching Consensus Network (GMCNet) to estimate faithful correspondences for full-range Partial-to-Partial point cloud Registration (PPR) in object-level registration scenarios. To encode robust point descriptors, we employ a novel Transformation-robust Point Transformer (TPT) module to adaptively aggregate local features with respect to the structural relations, taking advantage of both handcrafted rotation-invariant (RI) features and noise-resilient spatial coordinates. …”
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Meta-cognitive learning algorithm for neuro-fuzzy inference systems by Kartick Subramanian

“…Moreover, they can represent information hierarchically from local pixel level to global object level. Hence, we develop McFIS based action recognition system, where the aim of McFIS is to find the optimal decision boundary separating different actions, based on their optical flow based features. …”
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Identifying stakeholders in the land use management process and related critical factors in ASEAN by Tulus Tambunan

“…Sustainable LUM acts in a multilevel governance structure between an operational project level and a strategic level of rural/regional/national economic development management, which means dissolving the often-occurring conflict between short-term and long-term orientation within the planning process. …”
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Decarbonizing airport using solar and wind farm: A case of Biratnagar, Nepal by Yadav, Bharosh Kumar, Yadav, Ramhit, Jahangiri, Mehdi, Priya, S. Shanmuga, Bajracharya, Tri Ratna, Sudhakar, Kumarasamy

“…According to the study, a 157 kWp solar PV power plant is sufficient for Biratnagar Airport to become Nepal's first fully green-powered airport. The project's Levelized Cost of Electricity (LCOE) equals 0.141 $/kWh if wind energy is used to supply part of the electricity with the annual wind electricity production of 23,184 kWh. …”
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