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Copy file name to clipboardExpand all lines: data/publications.tsx
+10-10Lines changed: 10 additions & 10 deletions
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@@ -166,7 +166,7 @@ export const publications: {
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description: `🏗️ A scalable simulation pipeline that synthesizes diverse and high-fidelity reactive driving scenarios with pseudo-expert.\n🚀 An effective sim-real co-training strategy that improves robustness and generalization across end-to-end planners.\n🔬 A comprehensive recipe that reveals crucial insights into the underlying scaling properties of sim-real learning systems.`,
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keys: ['end_to_end_ad'],
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time: '2025.11.28',
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timeline:['te2e'],
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timeline:[],
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},
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{
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title: "Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving",
@@ -182,7 +182,7 @@ export const publications: {
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description: "",
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keys: ['end_to_end_ad'],
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time: '2025.06.11',
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timeline:['te2e'],
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timeline:[],
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},
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{
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title: "UniVLA: Learning to Act Anywhere with Task-centric Latent Actions",
@@ -690,7 +690,7 @@ export const publications: {
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description: "HDGT formulates the driving scene as a heterogeneous graph with different types of nodes and edges.",
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keys: ['ad_algorithm'],
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time: '2022.04.30',
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timeline:['te2e','highlight'],
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timeline:['te2e'],
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},
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{
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title: "Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection",
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description: "We investigate on how to distill the knowledge from an imperfect expert. We propose FD3D, a Focal Distiller for 3D object detection.",
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keys: ['ad_algorithm'],
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time: '2023.06.18',
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timeline:['te2e'],
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timeline:[],
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},
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{
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title: "BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision",
@@ -730,7 +730,7 @@ export const publications: {
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description: "A novel bird's-eye-view (BEV) detector with perspective supervision, which converges faster and better suits modern image backbones.",
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keys: ['ad_algorithm'],
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time: '2022.11.18',
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timeline:['te2e'],
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timeline:[],
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},
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{
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title: "Graph-based Topology Reasoning for Driving Scenes",
@@ -902,7 +902,7 @@ export const publications: {
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description: "",
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keys: ['end_to_end_ad'],
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time: '2025.06.09',
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timeline:['te2e'],
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timeline:[],
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},
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{
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title: "Decoupled Diffusion Sparks Adaptive Scene Generation",
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description: "",
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keys: ['end_to_end_ad'],
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time: '2025.04.14',
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timeline:['te2e'],
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timeline:[],
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},
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{
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title: "Centaur: Robust End-to-End Autonomous Driving with Test-Time Training",
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description: "",
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keys: ['end_to_end_ad'],
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time: '2025.03.14',
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timeline:['te2e'],
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timeline:[],
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},
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{
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title: "Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability",
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